is based mostly on three cluster techniques like; K means, Fuzzy c-means and hierarchical clustering. The authors used … best purity is obtained by hierarchical clustering, 97.50%, compared to K –means clustering, 96.75%, and Fuzzy C … obtained by the K-means clustering technique, 96.50%; whereas, Fuzzy C-means clustering received 93.50% and hierarchical …

is used to preselect the genes. K-means and hierarchical clustering algorithms with different distance metric are … cosine distance metric hierarchical clustering algorithm with k-nearest neighbor has given the best performance measures. …

by using Ward’s agglomerative hierarchical clustering followed by using K -means clustering algorithm to establish final …