#Desired Clusters: 3 #Clustering Algorithm: Means(1) #Distance Metric: RMS #Matrix Calculation Time: 0 seconds #Total Calculation Time: 131 seconds #Cluster 0 has average-distance-to-centroid 2.640644 #Cluster 1 has average-distance-to-centroid 1.987077 #Cluster 2 has average-distance-to-centroid 2.188978 #DBI: 1.14635 #pSF: 320.14273 #SSR/SST: 0.51749 #Clustering: 3 clusters X.....................................................................................................................X..XXXXXXXXXXXXXXXXXXXXXX.....X.X.XX.XXX..X.XX..X........XXXXXX........................X..XXXXXXX.....X...X....XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX..XXX..XXXXXXXXXXXXXXXXXXXXXXXXXXX...............XXXX.................................X............................................................................................................................................................................................................................ .X.....................................................................................................................X.......................XXXXX.X.X..X...XX.X..XX.XXXXXXXX......XXXXXXXXXXXXXXXXXXXXXXXX.XX...........................................................................................X...........................XXXX.XXXXXX..XX....XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX.XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ..XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX..X..............................................................................................XXXXX.XXX.XXXX................................................................XX...X................................X......XX.................................................................................................................................................................................................................................................................... ################################################################################## #Clustering: divide 600 points into 3 clusters #Cluster 0: has 150 points, occurence 0.250 #Cluster 1: has 315 points, occurence 0.525 #Cluster 2: has 135 points, occurence 0.225 #Cluster 0 (0) 1 X................................................. #Cluster 1 (1) 1 .X................................................ #Cluster 2 (2) 1 ..XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX #Consensus 1 01222222222222222222222222222222222222222222222222 #Cluster 0 (0) 51 .................................................. #Cluster 1 (1) 51 .................................................. #Cluster 2 (2) 51 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX #Consensus 51 22222222222222222222222222222222222222222222222222 #Cluster 0 (0) 101 ..................X..XXXXXXXXXXXXXXXXXXXXXX.....X. #Cluster 1 (1) 101 ...................X.......................XXXXX.X #Cluster 2 (2) 101 XXXXXXXXXXXXXXXXXX..X............................. #Consensus 101 22222222222222222201200000000000000000000001111101 #Cluster 0 (0) 151 X.XX.XXX..X.XX..X........XXXXXX................... #Cluster 1 (1) 151 .X..X...XX.X..XX.XXXXXXXX......XXXXXXXXXXXXXXXXXXX #Cluster 2 (2) 151 .................................................. #Consensus 151 01001000110100110111111110000001111111111111111111 #Cluster 0 (0) 201 .....X..XXXXXXX.....X...X....XXXXXXXXXXXXXXXXXXXXX #Cluster 1 (1) 201 XXXXX.XX.......................................... #Cluster 2 (2) 201 ...............XXXXX.XXX.XXXX..................... #Consensus 201 11111011000000022222022202222000000000000000000000 #Cluster 0 (0) 251 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX..XXX.. #Cluster 1 (1) 251 .................................................X #Cluster 2 (2) 251 ...........................................XX...X. #Consensus 251 00000000000000000000000000000000000000000002200021 #Cluster 0 (0) 301 XXXXXXXXXXXXXXXXXXXXXXXXXXX...............XXXX.... #Cluster 1 (1) 301 ...........................XXXX.XXXXXX..XX....XXXX #Cluster 2 (2) 301 ...............................X......XX.......... #Consensus 301 00000000000000000000000000011112111111221100001111 #Cluster 0 (0) 351 .............................X.................... #Cluster 1 (1) 351 XXXXXXXXXXXXXXXXXXXXXXXXXXXXX.XXXXXXXXXXXXXXXXXXXX #Cluster 2 (2) 351 .................................................. #Consensus 351 11111111111111111111111111111011111111111111111111 #Cluster 0 (0) 401 .................................................. #Cluster 1 (1) 401 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX #Cluster 2 (2) 401 .................................................. #Consensus 401 11111111111111111111111111111111111111111111111111 #Cluster 0 (0) 451 .................................................. #Cluster 1 (1) 451 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX #Cluster 2 (2) 451 .................................................. #Consensus 451 11111111111111111111111111111111111111111111111111 #Cluster 0 (0) 501 .................................................. #Cluster 1 (1) 501 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX #Cluster 2 (2) 501 .................................................. #Consensus 501 11111111111111111111111111111111111111111111111111 #Cluster 0 (0) 551 .................................................. #Cluster 1 (1) 551 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX #Cluster 2 (2) 551 .................................................. #Consensus 551 11111111111111111111111111111111111111111111111111 ############################################################################################ # Condensed Map # # 600 points divided into 50 windows, each window contains 12 points. # occurence == 0.0 # 0.0 <= occurence < 0.1 . # 0.1 <= occurence < 0.2 1 # 0.2 <= occurence < 0.3 2 # 0.3 <= occurence < 0.4 3 # 0.4 <= occurence < 0.5 4 # 0.5 <= occurence < 0.6 5 # 0.6 <= occurence < 0.7 6 # 0.7 <= occurence < 0.8 7 # 0.8 <= occurence < 0.9 8 # 0.9 <= occurence < 1.0 9 # 1.0 == occurence X # #Clustering: divide 600 points into 3 clusters #Cluster 0: has 150 points, occurence 0.250 #Cluster 1: has 315 points, occurence 0.525 #Cluster 2: has 135 points, occurence 0.225 #Cluster 0 . .99454. 619XXXX6XX23 . #Cluster 1 . . .5559X2 . 65XX9XXXXXXXXXXXXXXXXXX #Cluster 2 8XXXXXXXX8. .8. 2 .1