Abstract: A new clustering algorithm, density-isoline clustering(DILC) algorithm is put forward in this paper. DILC starts from the density-isoline figure of samples, and finds relatively dense regions, which are clusters. DILC is capable of eliminating outliers and discovering clusters of various shapes. It is an unsupervisedclustering algorithm because it requires no interaction. The high accuracy andefficiency of DILC clustering algorithm are shown in our experiments.

Key words: data mining, clustering, density-isoline clustering