Computer Science ›› 2007, Vol. 34 ›› Issue (2): 192-195.

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LIU Qing-Bao ,DENG Su ,ZHANG Wei Ming (College of Information System and Management, National University of Defense Teehnology,Changsha 410073)   

  • Online:2018-11-16 Published:2018-11-16

Abstract: With strong ability of discovery arbitrary shape clusters and handling noise, density based clustering is one of primary methods for data mining. This paper provides a clustering algorithm based on relative density, which efficiently resolves these proble

Key words: Clustering, K-nearest neighbors, Clustering parameter, Relative density

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