Automatic Teaching–Learning-Based Optimization: A Novel Clustering Method for Gene Functional Enrichments - Computational Intelligence Techniques for Comparative Genomics - page 25

Table 1 Results of automatic clustering using Elitist TLBO in microarray datasets
Datasets Size Dim No. of auto

clusters

CPU time
(s)

% of error
rate

Mean value of cluster validity indices (CVIs)
ARI RI MIM HIM SIL CSM DB

Yeast238 238 19 4.2 25.07 5.801 0.921 0.972 0.928 0.944 0.951 1.646 1.069

Yeast384 384 19 5.4 40.84 8.937 0.952 0.907 0.893 0.914 0.829 1.696 1.088

Yeast2885 2885 19 6.4 1,700.75 38.411 0.821 0.810 0.890 0.721 0.891 2.912 1.505

Yeast2946 2946 18 5.6 1,100.80 35.477 0.851 0.879 0.821 0.859 0.726 2.325 1.502

Yeast4382 4382 25 6.2 3,510.24 44.278 0.721 0.663 0.737 0.826 0.747 3.702 2.016