#Desired Clusters: 3 #Clustering Algorithm: Means(1) #Distance Metric: RMS #Matrix Calculation Time: 0 seconds #Total Calculation Time: 228 seconds #Cluster 0 has average-distance-to-centroid 2.523871 #Cluster 1 has average-distance-to-centroid 2.361308 #Cluster 2 has average-distance-to-centroid 2.419544 #DBI: 1.00535 #pSF: 540.88312 #SSR/SST: 0.64438 #Clustering: 3 clusters XXXXXXXXXXXXX.XXXXXXXX.XXXXXXXXX.XXX.X.XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX..........X..........................................................XX............................................................................................................................................................................................ ......................................................................................................................................................................................................................................................................................................................................................................................................................................................................................XX.XXXXXXXXXXX...........X......................XXXXXXX.XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX .............X........X.........X...X.X..............................................................................................................................................................................................................................................................................................................XXXXXXXXXX.XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX..XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX..X...........XXXXXXXXXXX.XXXXXXXXXXXXXXXXXXXXXX.......X.......................................................................... ################################################################################## #Clustering: divide 600 points into 3 clusters #Cluster 0: has 339 points, occurence 0.565 #Cluster 1: has 95 points, occurence 0.158 #Cluster 2: has 166 points, occurence 0.277 #Cluster 0 (0) 1 XXXXXXXXXXXXX.XXXXXXXX.XXXXXXXXX.XXX.X.XXXXXXXXXXX #Cluster 1 (1) 1 .................................................. #Cluster 2 (2) 1 .............X........X.........X...X.X........... #Consensus 1 00000000000002000000002000000000200020200000000000 #Cluster 0 (0) 51 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX #Cluster 1 (1) 51 .................................................. #Cluster 2 (2) 51 .................................................. #Consensus 51 00000000000000000000000000000000000000000000000000 #Cluster 0 (0) 101 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX #Cluster 1 (1) 101 .................................................. #Cluster 2 (2) 101 .................................................. #Consensus 101 00000000000000000000000000000000000000000000000000 #Cluster 0 (0) 151 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX #Cluster 1 (1) 151 .................................................. #Cluster 2 (2) 151 .................................................. #Consensus 151 00000000000000000000000000000000000000000000000000 #Cluster 0 (0) 201 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX #Cluster 1 (1) 201 .................................................. #Cluster 2 (2) 201 .................................................. #Consensus 201 00000000000000000000000000000000000000000000000000 #Cluster 0 (0) 251 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX #Cluster 1 (1) 251 .................................................. #Cluster 2 (2) 251 .................................................. #Consensus 251 00000000000000000000000000000000000000000000000000 #Cluster 0 (0) 301 XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX......... #Cluster 1 (1) 301 .................................................. #Cluster 2 (2) 301 .........................................XXXXXXXXX #Consensus 301 00000000000000000000000000000000000000000222222222 #Cluster 0 (0) 351 .X................................................ #Cluster 1 (1) 351 .................................................. #Cluster 2 (2) 351 X.XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX #Consensus 351 20222222222222222222222222222222222222222222222222 #Cluster 0 (0) 401 ..........XX...................................... #Cluster 1 (1) 401 .................................................. #Cluster 2 (2) 401 XXXXXXXXXX..XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX #Consensus 401 22222222220022222222222222222222222222222222222222 #Cluster 0 (0) 451 .................................................. #Cluster 1 (1) 451 ....................XX.XXXXXXXXXXX...........X.... #Cluster 2 (2) 451 XXXXXXXXXXXXXXXXXXXX..X...........XXXXXXXXXXX.XXXX #Consensus 451 22222222222222222222112111111111112222222222212222 #Cluster 0 (0) 501 .................................................. #Cluster 1 (1) 501 ..................XXXXXXX.XXXXXXXXXXXXXXXXXXXXXXXX #Cluster 2 (2) 501 XXXXXXXXXXXXXXXXXX.......X........................ #Consensus 501 22222222222222222211111112111111111111111111111111 #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 339 points, occurence 0.565 #Cluster 1: has 95 points, occurence 0.158 #Cluster 2: has 166 points, occurence 0.277 #Cluster 0 X898XXXXXXXXXXXXXXXXXXXXXXXX4. 1 #Cluster 1 73. 7XXXXXX #Cluster 2 1.1 59XXXX8XXXX269X2