Attachment 'U03_test_kmeans_agglo.m'
Download 1 function U03_test_kmeans_agglo
2 %U03_TEST_KMEANS_AGGLO Test kmeans_agglo.
3 %
4 %usage
5 % U03_test_kmeans_agglo
6 %
7 %author
8 % saputra@cs.tu-berlin.de
9
10 % filename of script to test
11 filename = 'kmeans_agglo.m';
12
13 % data set
14 X = [ -4.8960425064219146e+00 -4.1390400100404428e+00 -2.8162804600631435e+00 -3.4637813052813828e+00 -4.6555593895039058e+00 -3.8931859240654121e+00 -4.2751056754388115e+00 -2.4914742439038533e+00 -5.6805427775226454e+00 -4.1858165273676597e+00 -3.1630501091627052e+00 -4.7214904771644104e+00 -4.0204641610951439e+00 -2.9417051855500000e+00 -5.7506152884853838e+00 -3.1885141366830076e+00 -2.6899196585897380e+00 -4.6729931638547111e+00 -6.4490177537568130e+00 -3.8830543432067115e+00 -4.6547076750827836e+00 -4.0477308652979049e+00 -4.3303610457986590e+00 -4.0359786079530053e+00 -4.9572650788216617e+00 -3.5590903571529782e+00 -4.4977298052118799e+00 -3.1923503805606486e+00 -4.7562086055467008e+00 -6.0088503217891542e+00 -4.9811905631441737e+00 -2.6605205181922011e+00 -4.4128577286187980e+00 -2.3802522008746285e+00 -5.0810564901769375e+00 -2.2643236573937036e+00 -2.3649317814793589e+00 -4.2135375062087022e+00 -3.6925008225201510e+00 -4.9776483670420557e+00 -2.9179080991048365e+00 -3.7707116638955687e+00 -3.2983278230806006e+00 -2.1375202746809006e+00 -5.2275657222158465e+00 -2.6590705476686871e+00 -3.6069410712230003e+00 -3.7721413552956617e+00 -4.6367901129132925e+00 -4.1856206729110159e+00 3.9284605110834212e+00 5.3732753424840700e+00 3.4579834434960364e+00 4.8252151515175861e+00 4.6716339459320846e+00 4.8563515973399900e+00 4.6249751761906710e+00 5.5356703814685790e+00 2.0828641470282268e+00 5.2743511328250356e+00 5.3807824763675161e+00 3.0905707635418871e+00 5.7887302446237090e+00 4.0203236763724375e+00 2.4651054512025845e+00 2.6255213457851410e+00 3.7913574403380279e+00 4.3757344525862818e+00 5.4818762459970864e+00 5.8704528253922525e+00 3.2173681321657774e+00 3.8927998952156844e+00 3.0360118834212249e+00 3.1618120853436644e+00 3.8161659998590491e+00 3.8830110912853240e+00 3.4987937036764727e+00 4.5081646839924812e+00 4.2291333720724120e+00 3.8539574117782291e+00 3.1095039667249011e+00 3.7638557028419526e+00 3.6414280872338849e+00 3.8564542897630192e+00 4.6518040916574082e+00 3.3385569405289544e+00 3.6164838427833232e+00 4.0553883642703115e+00 1.4799963605600635e+00 2.9919355826910143e+00 1.5760428661549710e+00 4.0580698827354711e+00 3.7970820546592754e+00 2.8736481389868298e+00 4.3666142697015244e+00 5.5374090260425568e+00 2.1372333341226910e+00 3.3479258947637875e+00 3.7793683780174114e+00 3.2663379869549494e+00 -1.4440040658779980e+00 -1.3235029618032093e+00 -1.4611450503437784e-01 -7.6632557379239005e-02 1.6219718997877377e+00 9.1813590225913552e-02 -4.6133709421872093e-01 -3.7452963273531803e-01 1.7512956264276767e+00 6.4989341476980364e-02 8.2822847199424537e-02 2.2368498781009816e+00 8.6330394268156485e-01 5.5475762588310240e-01 1.2593651481189680e+00 -3.1413767474565191e-01 9.9669193290845393e-01 -5.4270241586089962e-01 -1.7214113232944259e-01 5.4148677646411847e-01 -5.7025264752726357e-01 -5.0345644019042325e-02 8.3497886682452727e-02 -3.3077420319113976e-01 -7.8480015048190344e-01 6.6665498604277351e-01 -1.3005624647030269e+00 -1.4885645044331768e+00 -2.7735429146565144e-01 -8.8843518137936861e-01 -7.1617644436624828e-02 -6.9434901111914316e-01 3.2964779928237514e-01 1.4717539803566831e-01 -2.6349808422200045e+00 -8.7631012622268989e-01 -3.2757791031003242e-01 5.8005321065211068e-01 -3.5088491838191171e-01 1.5782988358205232e+00 -2.5931046975712430e-02 7.5083417769790350e-01 -5.1726088476530196e-01 -7.5337062086567663e-01 -2.4852031900480015e-01 -1.2584153777730664e+00 2.6902769360063012e+00 -1.4228030065990676e+00 -1.4357728810904431e+00 -1.6930725688350658e+00
15 1.3517544475843685e-01 -1.1633952938372654e+00 -1.5429661783325022e-02 -7.1642862372585547e-01 3.1436276331074814e-01 1.8482162180189687e+00 2.2125540789896809e+00 -1.9450785999193310e+00 -5.7353413410587606e-01 8.9341156765677023e-03 -7.2227067243329512e-01 -2.0118099951714263e-01 2.7888999991245078e-01 6.2167328240240960e-01 6.9734755148343741e-01 6.3634494760413318e-01 3.2709751591819802e-01 -1.4932749947673082e-01 4.7328561224355359e-01 -5.9110383863220495e-01 -1.0806618512116946e+00 3.7934453728879497e-01 -4.9989825118472925e-01 -1.7476033119671699e-01 1.2925479001322682e+00 1.2809409427445406e+00 -1.1187166376043225e+00 4.1199578638244888e-02 -8.9129147806430040e-02 1.0839180379588267e+00 -6.8848863746469791e-01 -9.0924316031600994e-01 -5.0616318564854024e-01 8.0900711206500039e-02 -1.1245178115942032e+00 1.9374585965267537e+00 -1.2559401667743206e+00 -1.9893204828268177e-01 -5.7232545648506006e-01 -4.4680940665694829e-01 2.3726479493899850e+00 -2.6662313612389132e-01 -4.8759049128980936e-01 1.1068511103913441e+00 -6.6988511005648677e-01 3.8808331624114234e-01 -1.7073335778377412e+00 6.8563285776295124e-01 -1.0026055542338093e+00 -1.0540327142000288e+00 2.7919841968634951e-01 1.7984103218475750e-01 1.6341905807507420e+00 2.3076114227231159e-01 -5.0807788041779367e-01 2.6850345353239546e-01 -1.0473379377146483e+00 4.3442573789581168e-01 4.6993952444861936e-01 6.3854245107310015e-01 1.3198428558313753e+00 -2.3056050522651850e+00 3.9079780825821459e-01 -4.0597700332319314e-01 2.2137310235762894e-01 -8.3928553082155788e-01 7.5591299878680163e-01 -1.3454129656607750e+00 3.2736137578809076e-02 -1.2089905241048509e+00 -7.6729852412104849e-01 -9.7705667196127377e-01 -2.3791723526715298e+00 2.5734563499436619e-01 -1.6761529619977827e-01 1.6848817375370478e-01 -7.0507642354191702e-01 -4.2092153577171987e-01 -9.5949702639188150e-01 7.4453802715371831e-01 1.3906185865601664e-01 -7.5459129032857661e-02 -2.0776348552980579e+00 1.3933414749210382e+00 -3.7713355773963853e-01 2.4895797618975368e-01 -5.2847980388937532e-01 1.2537685710666626e+00 5.8485612035418399e-01 9.4428482457310081e-01 -2.2383142849881707e-01 -4.2461401505649093e-01 -1.5130769789982312e+00 -8.1500215772839479e-01 -5.8610675846085603e-01 1.4007152852574289e-01 -4.5419309698324789e-01 1.0331787692255201e-01 -2.7904336657061335e-01 -6.4533580168853980e-02 7.5405435225128823e+00 6.2666265536982646e+00 7.1762881885022605e+00 8.6663732004293266e+00 7.5546391270986382e+00 6.1205961837667617e+00 5.5222340360070579e+00 6.4572919939317428e+00 7.6814278477789149e+00 6.6354389716219160e+00 7.6943947106142705e+00 7.2550899554375645e+00 7.6075898320174673e+00 7.9298336575844282e+00 6.9723542954675217e+00 7.1549108711497835e+00 8.1441149492887064e+00 7.8404315725747535e+00 6.5922485929945536e+00 7.8603144437666161e+00 5.4295978518760855e+00 7.4812280040642438e+00 8.5057267426844767e+00 7.7233580622738058e+00 5.6650817431761240e+00 5.5355710252408636e+00 6.3231810711911729e+00 7.4867461882714483e+00 5.6345184704232905e+00 5.9416831540210131e+00 4.5136122956953120e+00 5.5368142187090079e+00 7.5267477102671725e+00 6.8267642395717756e+00 6.9562566443655234e+00 6.6627257823626627e+00 5.7699557438585263e+00 7.1679589574985609e+00 7.8203017138989344e+00 5.8200292977046839e+00 5.8175755146665544e+00 7.4283702624294579e+00 6.3689937404572019e+00 7.8540159233343152e+00 6.7783687130288843e+00 7.2408231061141732e+00 7.2178995223897369e+00 7.1749889457594902e+00 7.0767763574138902e+00 7.6473917113020899e+00 ];
16
17 r = [ 8.0000000e+00 2.9000000e+01 6.0000000e+00 2.2000000e+01 8.0000000e+00 1.6000000e+01 1.6000000e+01 1.2000000e+01 2.7000000e+01 2.3000000e+01 7.0000000e+00 8.0000000e+00 2.3000000e+01 6.0000000e+00 1.3000000e+01 6.0000000e+00 6.0000000e+00 8.0000000e+00 1.3000000e+01 2.2000000e+01 2.9000000e+01 2.3000000e+01 2.0000000e+00 2.3000000e+01 9.0000000e+00 1.6000000e+01 2.9000000e+01 6.0000000e+00 8.0000000e+00 1.3000000e+01 2.7000000e+01 7.0000000e+00 2.0000000e+00 6.0000000e+00 2.7000000e+01 1.8000000e+01 7.0000000e+00 2.3000000e+01 2.2000000e+01 2.0000000e+00 1.8000000e+01 2.2000000e+01 2.2000000e+01 1.8000000e+01 2.7000000e+01 6.0000000e+00 1.2000000e+01 2.3000000e+01 2.9000000e+01 2.9000000e+01 2.6000000e+01 3.0000000e+00 2.0000000e+01 3.0000000e+00 2.8000000e+01 3.0000000e+00 2.8000000e+01 2.1000000e+01 1.9000000e+01 2.1000000e+01 4.0000000e+00 3.0000000e+01 2.1000000e+01 2.8000000e+01 1.9000000e+01 2.6000000e+01 2.0000000e+01 2.8000000e+01 3.0000000e+00 2.5000000e+01 2.6000000e+01 2.8000000e+01 3.0000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 2.8000000e+01 2.8000000e+01 2.0000000e+01 2.6000000e+01 2.6000000e+01 3.0000000e+01 2.0000000e+01 2.8000000e+01 2.6000000e+01 2.6000000e+01 2.0000000e+01 1.9000000e+01 2.0000000e+01 1.9000000e+01 2.8000000e+01 3.0000000e+01 2.6000000e+01 2.8000000e+01 3.0000000e+00 1.9000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 1.0000000e+00 1.5000000e+01 1.7000000e+01 1.4000000e+01 1.1000000e+01 5.0000000e+00 2.4000000e+01 5.0000000e+00 1.1000000e+01 1.7000000e+01 1.4000000e+01 1.1000000e+01 1.1000000e+01 1.4000000e+01 1.1000000e+01 1.7000000e+01 1.1000000e+01 1.4000000e+01 5.0000000e+00 1.4000000e+01 2.4000000e+01 1.4000000e+01 1.4000000e+01 1.4000000e+01 2.4000000e+01 1.0000000e+01 1.5000000e+01 1.0000000e+00 2.4000000e+01 1.5000000e+01 2.4000000e+01 2.4000000e+01 1.4000000e+01 1.7000000e+01 1.0000000e+00 5.0000000e+00 2.4000000e+01 1.7000000e+01 1.4000000e+01 1.0000000e+01 2.4000000e+01 1.1000000e+01 5.0000000e+00 1.4000000e+01 1.7000000e+01 1.0000000e+00 1.1000000e+01 1.0000000e+00 1.0000000e+00 1.0000000e+00];
18
19 correct_R = [
20 8.0000000e+00 2.9000000e+01 6.0000000e+00 2.2000000e+01 8.0000000e+00 1.6000000e+01 1.6000000e+01 1.2000000e+01 2.7000000e+01 2.3000000e+01 7.0000000e+00 8.0000000e+00 2.3000000e+01 6.0000000e+00 1.3000000e+01 6.0000000e+00 6.0000000e+00 8.0000000e+00 1.3000000e+01 2.2000000e+01 2.9000000e+01 2.3000000e+01 2.0000000e+00 2.3000000e+01 9.0000000e+00 1.6000000e+01 2.9000000e+01 6.0000000e+00 8.0000000e+00 1.3000000e+01 2.7000000e+01 7.0000000e+00 2.0000000e+00 6.0000000e+00 2.7000000e+01 1.8000000e+01 7.0000000e+00 2.3000000e+01 2.2000000e+01 2.0000000e+00 1.8000000e+01 2.2000000e+01 2.2000000e+01 1.8000000e+01 2.7000000e+01 6.0000000e+00 1.2000000e+01 2.3000000e+01 2.9000000e+01 2.9000000e+01 2.6000000e+01 3.0000000e+00 2.0000000e+01 3.0000000e+00 2.8000000e+01 3.0000000e+00 2.8000000e+01 2.1000000e+01 1.9000000e+01 2.1000000e+01 4.0000000e+00 3.0000000e+01 2.1000000e+01 2.8000000e+01 1.9000000e+01 2.6000000e+01 2.0000000e+01 2.8000000e+01 3.0000000e+00 2.5000000e+01 2.6000000e+01 2.8000000e+01 3.0000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 2.8000000e+01 2.8000000e+01 2.0000000e+01 2.6000000e+01 2.6000000e+01 3.0000000e+01 2.0000000e+01 2.8000000e+01 2.6000000e+01 2.6000000e+01 2.0000000e+01 1.9000000e+01 2.0000000e+01 1.9000000e+01 2.8000000e+01 3.0000000e+01 2.6000000e+01 2.8000000e+01 3.0000000e+00 1.9000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 1.0000000e+00 1.5000000e+01 1.7000000e+01 1.4000000e+01 1.1000000e+01 5.0000000e+00 2.4000000e+01 5.0000000e+00 1.1000000e+01 1.7000000e+01 1.4000000e+01 1.1000000e+01 1.1000000e+01 1.4000000e+01 1.1000000e+01 1.7000000e+01 1.1000000e+01 1.4000000e+01 5.0000000e+00 1.4000000e+01 2.4000000e+01 1.4000000e+01 1.4000000e+01 1.4000000e+01 2.4000000e+01 1.0000000e+01 1.5000000e+01 1.0000000e+00 2.4000000e+01 1.5000000e+01 2.4000000e+01 2.4000000e+01 1.4000000e+01 1.7000000e+01 1.0000000e+00 5.0000000e+00 2.4000000e+01 1.7000000e+01 1.4000000e+01 1.0000000e+01 2.4000000e+01 1.1000000e+01 5.0000000e+00 1.4000000e+01 1.7000000e+01 1.0000000e+00 1.1000000e+01 1.0000000e+00 1.0000000e+00 1.0000000e+00
21 8.0000000e+00 2.9000000e+01 6.0000000e+00 2.2000000e+01 8.0000000e+00 1.6000000e+01 1.6000000e+01 1.2000000e+01 2.7000000e+01 2.3000000e+01 7.0000000e+00 8.0000000e+00 2.3000000e+01 6.0000000e+00 1.3000000e+01 6.0000000e+00 6.0000000e+00 8.0000000e+00 1.3000000e+01 2.2000000e+01 2.9000000e+01 2.3000000e+01 2.0000000e+00 2.3000000e+01 9.0000000e+00 1.6000000e+01 2.9000000e+01 6.0000000e+00 8.0000000e+00 1.3000000e+01 2.7000000e+01 7.0000000e+00 2.0000000e+00 6.0000000e+00 2.7000000e+01 1.8000000e+01 7.0000000e+00 2.3000000e+01 2.2000000e+01 2.0000000e+00 1.8000000e+01 2.2000000e+01 2.2000000e+01 1.8000000e+01 2.7000000e+01 6.0000000e+00 1.2000000e+01 2.3000000e+01 2.9000000e+01 2.9000000e+01 2.6000000e+01 2.1000000e+01 2.0000000e+01 2.1000000e+01 2.8000000e+01 2.1000000e+01 2.8000000e+01 2.1000000e+01 1.9000000e+01 2.1000000e+01 4.0000000e+00 3.0000000e+01 2.1000000e+01 2.8000000e+01 1.9000000e+01 2.6000000e+01 2.0000000e+01 2.8000000e+01 2.1000000e+01 2.5000000e+01 2.6000000e+01 2.8000000e+01 3.0000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 2.8000000e+01 2.8000000e+01 2.0000000e+01 2.6000000e+01 2.6000000e+01 3.0000000e+01 2.0000000e+01 2.8000000e+01 2.6000000e+01 2.6000000e+01 2.0000000e+01 1.9000000e+01 2.0000000e+01 1.9000000e+01 2.8000000e+01 3.0000000e+01 2.6000000e+01 2.8000000e+01 2.1000000e+01 1.9000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 1.0000000e+00 1.5000000e+01 1.7000000e+01 1.4000000e+01 1.1000000e+01 5.0000000e+00 2.4000000e+01 5.0000000e+00 1.1000000e+01 1.7000000e+01 1.4000000e+01 1.1000000e+01 1.1000000e+01 1.4000000e+01 1.1000000e+01 1.7000000e+01 1.1000000e+01 1.4000000e+01 5.0000000e+00 1.4000000e+01 2.4000000e+01 1.4000000e+01 1.4000000e+01 1.4000000e+01 2.4000000e+01 1.0000000e+01 1.5000000e+01 1.0000000e+00 2.4000000e+01 1.5000000e+01 2.4000000e+01 2.4000000e+01 1.4000000e+01 1.7000000e+01 1.0000000e+00 5.0000000e+00 2.4000000e+01 1.7000000e+01 1.4000000e+01 1.0000000e+01 2.4000000e+01 1.1000000e+01 5.0000000e+00 1.4000000e+01 1.7000000e+01 1.0000000e+00 1.1000000e+01 1.0000000e+00 1.0000000e+00 1.0000000e+00
22 8.0000000e+00 2.9000000e+01 6.0000000e+00 2.2000000e+01 8.0000000e+00 1.6000000e+01 1.6000000e+01 1.2000000e+01 2.7000000e+01 2.3000000e+01 7.0000000e+00 8.0000000e+00 2.3000000e+01 6.0000000e+00 1.3000000e+01 6.0000000e+00 6.0000000e+00 8.0000000e+00 1.3000000e+01 2.2000000e+01 2.9000000e+01 2.3000000e+01 8.0000000e+00 2.3000000e+01 9.0000000e+00 1.6000000e+01 2.9000000e+01 6.0000000e+00 8.0000000e+00 1.3000000e+01 2.7000000e+01 7.0000000e+00 8.0000000e+00 6.0000000e+00 2.7000000e+01 1.8000000e+01 7.0000000e+00 2.3000000e+01 2.2000000e+01 8.0000000e+00 1.8000000e+01 2.2000000e+01 2.2000000e+01 1.8000000e+01 2.7000000e+01 6.0000000e+00 1.2000000e+01 2.3000000e+01 2.9000000e+01 2.9000000e+01 2.6000000e+01 2.1000000e+01 2.0000000e+01 2.1000000e+01 2.8000000e+01 2.1000000e+01 2.8000000e+01 2.1000000e+01 1.9000000e+01 2.1000000e+01 4.0000000e+00 3.0000000e+01 2.1000000e+01 2.8000000e+01 1.9000000e+01 2.6000000e+01 2.0000000e+01 2.8000000e+01 2.1000000e+01 2.5000000e+01 2.6000000e+01 2.8000000e+01 3.0000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 2.8000000e+01 2.8000000e+01 2.0000000e+01 2.6000000e+01 2.6000000e+01 3.0000000e+01 2.0000000e+01 2.8000000e+01 2.6000000e+01 2.6000000e+01 2.0000000e+01 1.9000000e+01 2.0000000e+01 1.9000000e+01 2.8000000e+01 3.0000000e+01 2.6000000e+01 2.8000000e+01 2.1000000e+01 1.9000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 1.0000000e+00 1.5000000e+01 1.7000000e+01 1.4000000e+01 1.1000000e+01 5.0000000e+00 2.4000000e+01 5.0000000e+00 1.1000000e+01 1.7000000e+01 1.4000000e+01 1.1000000e+01 1.1000000e+01 1.4000000e+01 1.1000000e+01 1.7000000e+01 1.1000000e+01 1.4000000e+01 5.0000000e+00 1.4000000e+01 2.4000000e+01 1.4000000e+01 1.4000000e+01 1.4000000e+01 2.4000000e+01 1.0000000e+01 1.5000000e+01 1.0000000e+00 2.4000000e+01 1.5000000e+01 2.4000000e+01 2.4000000e+01 1.4000000e+01 1.7000000e+01 1.0000000e+00 5.0000000e+00 2.4000000e+01 1.7000000e+01 1.4000000e+01 1.0000000e+01 2.4000000e+01 1.1000000e+01 5.0000000e+00 1.4000000e+01 1.7000000e+01 1.0000000e+00 1.1000000e+01 1.0000000e+00 1.0000000e+00 1.0000000e+00
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43 2.9000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.9000000e+01 2.6000000e+01 2.5000000e+01 2.6000000e+01 2.5000000e+01 3.0000000e+01 2.5000000e+01 3.0000000e+01 2.5000000e+01 2.6000000e+01 2.5000000e+01 2.5000000e+01 3.0000000e+01 2.5000000e+01 3.0000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 3.0000000e+01 2.5000000e+01 2.5000000e+01 2.6000000e+01 3.0000000e+01 3.0000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 3.0000000e+01 3.0000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 3.0000000e+01 2.6000000e+01 3.0000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 3.0000000e+01 3.0000000e+01 2.6000000e+01 3.0000000e+01 2.5000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 2.6000000e+01 1.7000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 1.7000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 2.4000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01
44 2.9000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.9000000e+01 3.0000000e+01 2.5000000e+01 3.0000000e+01 2.5000000e+01 3.0000000e+01 2.5000000e+01 3.0000000e+01 2.5000000e+01 3.0000000e+01 2.5000000e+01 2.5000000e+01 3.0000000e+01 2.5000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 2.5000000e+01 2.5000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 2.5000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 1.7000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 1.7000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 2.4000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01
45 2.9000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.9000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 1.7000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 1.7000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 2.4000000e+01 2.4000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01 1.7000000e+01
46 2.9000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.3000000e+01 2.3000000e+01 2.3000000e+01 2.9000000e+01 2.9000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01
47 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 2.9000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01
48 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 3.0000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 2.4000000e+01 ];
49
50 correct_kmloss = [
51 5.9154458504576816e+01
52 5.9702534297044913e+01
53 6.0272028314739224e+01
54 6.1265271928592320e+01
55 6.2325020638948367e+01
56 6.3408355369893023e+01
57 6.4567426395478108e+01
58 6.6017131446767038e+01
59 6.7839052851884702e+01
60 6.9689672850587783e+01
61 7.1748118686253150e+01
62 7.4117775290164559e+01
63 7.6502600651399035e+01
64 7.9398063035552255e+01
65 8.3473819529853998e+01
66 8.7818831452111709e+01
67 9.2364356124674998e+01
68 9.7229542804389951e+01
69 1.0213182238530877e+02
70 1.0739359942568731e+02
71 1.1270686845615890e+02
72 1.1981558527936940e+02
73 1.2705708500456616e+02
74 1.3591895034408395e+02
75 1.4487457250385805e+02
76 1.5717809929706908e+02
77 1.7015434645031812e+02
78 1.8339635149625011e+02
79 4.6656732832748872e+02
80 7.0678298475265763e+02];
81
82 correct_mergeidx = [
83 3.0000000e+00 2.1000000e+01
84 2.0000000e+00 8.0000000e+00
85 7.0000000e+00 1.2000000e+01
86 9.0000000e+00 1.3000000e+01
87 4.0000000e+00 2.1000000e+01
88 5.0000000e+00 1.7000000e+01
89 2.1000000e+01 2.5000000e+01
90 2.7000000e+01 2.9000000e+01
91 1.5000000e+01 2.4000000e+01
92 2.2000000e+01 2.3000000e+01
93 1.6000000e+01 1.8000000e+01
94 1.0000000e+01 2.4000000e+01
95 8.0000000e+00 2.9000000e+01
96 1.2000000e+01 2.3000000e+01
97 2.0000000e+01 2.6000000e+01
98 6.0000000e+00 2.3000000e+01
99 2.8000000e+01 3.0000000e+01
100 1.9000000e+01 2.6000000e+01
101 1.3000000e+01 2.9000000e+01
102 1.4000000e+01 1.7000000e+01
103 1.8000000e+01 2.3000000e+01
104 1.1000000e+01 1.7000000e+01
105 1.0000000e+00 1.7000000e+01
106 2.6000000e+01 3.0000000e+01
107 2.5000000e+01 3.0000000e+01
108 1.7000000e+01 2.4000000e+01
109 2.3000000e+01 2.9000000e+01
110 2.9000000e+01 3.0000000e+01
111 2.4000000e+01 3.0000000e+01];
112
113 % run test
114 if exist(filename, 'file')
115 fprintf(['Testing ' filename '...\n']);
116 [R, kmloss, mergeidx] = kmeans_agglo(X, r);
117 assert_equal(size(correct_R), size(R), 'Size of R does not match.');
118 assert_equal(size(correct_kmloss), size(kmloss), 'Size of kmloss does not match.');
119 assert_equal(size(correct_mergeidx), size(mergeidx), 'Size of mergeidx does not match.');
120 assert_equal(correct_R, R, 'R isn''t correct.', 'R is correct.');
121 assert_equal(correct_kmloss, kmloss, 'kmloss isn''t correct.', 'kmloss is correct.');
122 assert_equal(correct_mergeidx, mergeidx, 'mergeidx isn''T correct.', 'mergeidx is correct.');
123 else
124 fprintf([filename 'not found.\n']);
125 end
126
127 function [] = assert_equal(A, B, error, success)
128
129 if max(max(abs(A - B))) > 1e-3
130 fprintf(['Error: ' error '\n']);
131 expected = A
132 got = B
133 else
134 if nargin > 3
135 fprintf(['OK: ' success '\n']);
136 end
137 end
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