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#Desired Clusters: 5
#Clustering Algorithm: Means(1)
#Distance Metric: RMS
#Matrix Calculation Time: 0 seconds
#Total Calculation Time: 0 seconds
#Cluster 0 has average-distance-to-centroid 1.262266
#Cluster 1 has average-distance-to-centroid 1.054992
#Cluster 2 has average-distance-to-centroid 1.534600
#Cluster 3 has average-distance-to-centroid 1.851709
#Cluster 4 has average-distance-to-centroid 1.385099
#DBI: 1.12633
#pSF: 86.01192
#SSR/SST: 0.78184
#Clustering: 5 clusters
..............XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX......................................
.............................................................................XXXXXXXXXXXXXXXXXXXXXXXX
...............................................................XXXXXXXXXXXXXX........................
XXXXX......XXX.......................................................................................
.....XXXXXX..........................................................................................
##################################################################################
#Clustering: divide 101 points into 5 clusters
#Cluster 0: has 49 points, occurence 0.485
#Cluster 1: has 24 points, occurence 0.238
#Cluster 2: has 14 points, occurence 0.139
#Cluster 3: has 8 points, occurence 0.079
#Cluster 4: has 6 points, occurence 0.059
#Cluster 0 (0) 1 ..............XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
#Cluster 1 (1) 1 ..................................................
#Cluster 2 (2) 1 ..................................................
#Cluster 3 (3) 1 XXXXX......XXX....................................
#Cluster 4 (4) 1 .....XXXXXX.......................................
#Consensus 1 33333444444333000000000000000000000000000000000000
#Cluster 0 (0) 51 XXXXXXXXXXXXX.....................................
#Cluster 1 (1) 51 ...........................XXXXXXXXXXXXXXXXXXXXXXX
#Cluster 2 (2) 51 .............XXXXXXXXXXXXXX.......................
#Cluster 3 (3) 51 ..................................................
#Cluster 4 (4) 51 ..................................................
#Consensus 51 00000000000002222222222222211111111111111111111111
#Cluster 0 (0) 101 .
#Cluster 1 (1) 101 X
#Cluster 2 (2) 101 .
#Cluster 3 (3) 101 .
#Cluster 4 (4) 101 .
#Consensus 101 1
############################################################################################
# Condensed Map
#
# 101 points divided into 50 windows, each window contains 2 or 3 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 101 points into 5 clusters
#Cluster 0: has 49 points, occurence 0.485
#Cluster 1: has 24 points, occurence 0.238
#Cluster 2: has 14 points, occurence 0.139
#Cluster 3: has 8 points, occurence 0.079
#Cluster 4: has 6 points, occurence 0.059
#Cluster 0 5XXXXXXXXXXXXXXXXXXXXXXXX
#Cluster 1 XXXXXXXXXXXX
#Cluster 2 XXXXXXX
#Cluster 3 XX X5
#Cluster 4 XXX
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