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Table 1 Frequency of the selected number of clusters for each scenario and time series length

From: Functional clustering of time series gene expression data by Granger causality

Time series length/Number of clusters 1 2 3 4 6 5 silhouette width
Scenario 1
50 0 0 48 700 252 0 0.502 (0.098)
75 0 0 1 785 214 0 0.582 (0.054)
100 0 0 3 805 192 0 0.610 (0.042)
200 0 0 4 825 171 0 0.641 (0.034)
Scenario 2
50 0 0 65 713 222 0 0.479 (0.112)
75 0 0 28 760 212 0 0.555 (0.071)
100 0 0 9 834 157 0 0.587 (0.050)
200 0 0 3 883 114 0 0.621 (0.029)
Scenario 3
50 0 0 63 666 271 0 0.461 (0.123)
75 0 0 18 784 198 0 0.552 (0.078)
100 0 0 8 851 141 0 0.586 (0.050)
200 0 0 6 883 111 0 0.618 (0.031)
Scenario 4
50 0 0 53 686 261 0 0.465 (0.110)
75 0 0 17 786 197 0 0.551 (0.075)
100 0 0 11 815 174 0 0.581 (0.055)
200 0 0 6 887 107 0 0.619 (0.033)
  1. In bold are the correct number of clusters. Between brackets is one standard deviation for the silhouette width calculated in the breakpoint. For each scenario and each time series length, the number of repetitions was set to 1,000.