Recent advances in cluster analysis
International Journal of Intelligent Computing and Cybernetics
ISSN: 1756-378X
Article publication date: 17 October 2008
Abstract
Purpose
The purpose of this paper is to provide a review of the issues related to cluster analysis, one of the most important and primitive activities of human beings, and of the advances made in recent years.
Design/methodology/approach
The paper investigates the clustering algorithms rooted in machine learning, computer science, statistics, and computational intelligence.
Findings
The paper reviews the basic issues of cluster analysis and discusses the recent advances of clustering algorithms in scalability, robustness, visualization, irregular cluster shape detection, and so on.
Originality/value
The paper presents a comprehensive and systematic survey of cluster analysis and emphasizes its recent efforts in order to meet the challenges caused by the glut of complicated data from a wide variety of communities.
Keywords
Citation
Xu, R. and Wunsch, D.C. (2008), "Recent advances in cluster analysis", International Journal of Intelligent Computing and Cybernetics, Vol. 1 No. 4, pp. 484-508. https://doi.org/10.1108/17563780810919087
Publisher
:Emerald Group Publishing Limited
Copyright © 2008, Emerald Group Publishing Limited