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Table 3 Clustering accuracy scores for all Y-STR datasets

From: An efficient clustering algorithm for partitioning Y-short tandem repeats data

  N Mean Std. Dev. 95% Confidence Interval for Mean Min Max
     Lower Bound Upper Bound   
k-Mode 600 0.76 0.13 0.75 0.77 0.45 1.00
k-Mode-RVF 600 0.81 0.11 0.80 0.82 0.56 1.00
k-Mode-UAVM 600 0.70 0.17 0.69 0.71 0.38 1.00
k-Mode-Hybrid 1 600 0.76 0.13 0.75 0.77 0.38 1.00
k-Mode-Hybrid 2 600 0.75 0.14 0.74 0.76 0.45 1.00
Fuzzy k-Mode 600 0.74 0.16 0.73 0.75 0.32 1.00
k-Population 600 0.91 0.09 0.91 0.92 0.59 1.00
New Fuzzy k-Mode 600 0.80 0.13 0.79 0.81 0.44 1.00
k -AMH 600 0.93 0.07 0.93 0.94 0.79 1.00