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Table 5 Values of the absolute difference between the estimated and the known number of clusters across the correlation matrices for 24 variables and 96 objects

From: Thresher: determining the number of clusters while removing outliers

Methods NbClust Top 10 Best Indices   Thresher  
  tracew mcclain ratkowsky trcovw scott silhouette sdindex kl tau ptbiserial CPT TwiceMean SCOD
1 1.008 1.011 1.055 1.078 1.213 1.528 2.246 1.850 2.382 2.320 1.147 1.153 1.011
2 1.011 1.024 1.064 1.076 1.195 2.665 2.250 1.885 2.320 2.348 0.009 0.009 1.021
3 1.018 1.013 1.070 1.088 1.221 1.674 2.285 1.829 2.369 2.344 0.037 0.037 0.988
4 0.987 0.988 0.923 0.849 0.840 1.024 0.435 0.871 0.571 0.711 2.834 2.999 1.013
5 0.982 0.994 0.936 0.908 0.845 0.962 0.424 0.947 0.550 0.695 0.790 0.307 1.008
6 0.989 0.979 0.933 0.820 0.844 1.083 0.432 0.901 0.572 0.703 2.935 2.971 1.011
7 0.011 0.012 0.067 0.137 0.206 0.614 1.254 0.838 1.369 1.360 0.760 2.634 0.318
8 0.015 0.008 0.067 0.138 0.212 0.585 1.314 0.882 1.422 1.366 0.650 2.689 0.346
9 1.014 1.016 1.050 1.133 1.198 1.562 2.250 1.902 2.365 2.320 1.163 1.163 0.981
10 1.011 1.015 1.078 1.083 1.215 1.547 2.277 1.893 2.378 2.330 1.035 1.037 1.009
11 0.023 0.020 0.094 0.741 0.231 0.571 1.226 0.981 1.373 1.308 0.050 0.049 0.350
12 0.016 0.017 0.068 0.232 0.205 0.503 1.244 0.816 1.359 1.285 0.025 0.025 0.372
13 1.983 1.985 1.920 1.597 1.779 1.634 0.875 1.497 0.839 0.951 0.878 0.881 2.006
14 1.987 1.988 1.936 1.834 1.809 1.663 0.866 1.515 0.819 0.945 1.152 1.043 2.006
15 0.983 0.988 0.928 0.805 0.831 0.942 0.410 0.861 0.554 0.699 1.853 1.858 1.033
16 0.987 0.987 0.922 0.878 0.824 0.892 0.406 0.910 0.529 0.693 1.444 1.772 1.005
Average 0.877 0.878 0.882 0.900 0.917 1.216 1.262 1.274 1.361 1.399 1.048 1.289 0.967
  1. Bold values indicate the best results for row settings