Representative points clustering algorithm based on density factor and relevant degree

Most of the existing clustering algorithms are affected seriously by noise data and high cost of time. In this paper, on the basis of CURE algorithm, a representative points clustering algorithm based on density factor and relevant degree called RPCDR is proposed. The definition of density factor an...

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Bibliographic Details
Published in:	International journal of machine learning and cybernetics Vol. 8; no. 2; pp. 641 - 649
Main Authors:	Wu, Di, Ren, Jiadong, Sheng, Long
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2017 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Clustering Complex Systems Computational Intelligence Control Datasets Density Efficiency Engineering Mechatronics Neighborhoods Noise Original Article Pattern Recognition Robotics Systems Biology Density factor Relevant degree Clustering nearest neighbor method Representative point
ISSN:	1868-8071, 1868-808X
Online Access:	Get full text
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