DP-k-modes: A self-tuning k-modes clustering algorithm

Juanying Xie, Mingzhao Wang, Xiaoxiao Lu, Xinglin Liu, Philip W. Grant

Abstract: Highlights•Self-tuning cutoff distance is proposed to extend DPC.•Optimal initial seeds and number of clusters determined simultaneously.•New dissimilarity measure is proposed calculating dissimilarities between objects.•Self-tuning k-modes clustering algorithm, referred to as DP-k-modes, is proposed.•DP-k-modes is superior to the compared ones and is significant different to them.