More Efficient k-modes clustering algorithm

초록

A hard-type centroids in the conventional clustering algorithm such as k-modes algorithm cannot keep the uncertainty inherently in data sets as long as possible before actual clustering(decision) are made. Therefore, we propose the k-populations algorithm to extend clustering ability and to keep the data characteristics. This k-population algorithm as found to give markedly better clustering results through various experiments.

키워드