A New Fast Clustering Algorithm Based on Reference and Density

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Shuai Ma, Tengjiao Wang, Shiwei Tang, Dongqing Yang, Jun Gao

Published: 2003, Last Modified: 23 Jan 2026WAIM 2003EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Density-based clustering is a sort of clustering analysis methods, which can discover clusters with arbitrary shape and is insensitive to noise data. The efficiency of data mining algorithms is strongly needed with data becoming larger and larger. In this paper, we present a new fast clustering algorithm called CURD, which means Clustering Using