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DILC: A Clustering Algorithm Based on Density-isoline

ZHAO Yan-chang, XIE Fan, SONG Jun-de (Electronic Engineering School, Beijing University of Posts and Telecommunications, Beijing 100876, China)  
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 unsupervised clustering algorithm because it requires no interaction. The high accuracy and efficiency of DILC clustering algorithm are shown in our experiments.
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