Does Determination of Initial Cluster Centroids Improve the Performance of -Means Clustering Algorithm? Comparison of Three Hybrid Methods by Genetic Algorithm, Minimum Spanning Tree, and Hierarchical Clustering in an Applied Study

Table 1

Description of seven datasets utilized for comparisons among the methods¹.

Name of dataset	Sample size (+/-)	No. of variables (features)	No. of classes (labels)	No. of optimal clusters^2
Leukemia	64 (26/38)	4	2	2
Prostate	30 (15/15)	3	2	2
Colon Cancer	111 (56/55)	4	2	2
Haberman	306	3	2	2
Iris	150	4	3	3
Wine	178	13	3	3
Glass	214	10	7	7

¹Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/gds) & University of California, Irvine Machine Learning Repository (https://archive.ics.uci.edu/ml/datasets.php). ²The number of optimal clusters based on the elbow, gap, and silhouette by applying the law of the majority.