Emerald Login
   

Welcome guest

Article Request:
Recent advances in cluster analysis

Article Information:

Title:

Recent advances in cluster analysis

Author(s):

Rui Xu, Donald C. Wunsch II

Journal:

International Journal of Intelligent Computing and Cybernetics

Year:

2008

Volume:

1

Issue:

4

Page:

484 - 508


ISSN:

1756-378X


DOI:

10.1108/17563780810919087

Publisher:

Emerald Group Publishing Limited


Acknowledgements:

This research is partially supported by the National Science Foundation, and the M.K. Finley Missouri endowment. Substantial portions of the paper are taken from Xu and Wunsch (2008).

Document Access:

Existing customers:

Please login above.

Purchase this document:
Price payable: GBP £13.00
plus handling charge of GBP £1.50 and VAT where applicable.
Purchase

Request this document:
Print or e-mail a document request to your librarian.
Request

Reprints & permissions:
Image: Rightslink Request

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:

Cluster analysis, Programming and algorithm theory


Article Type:

General review


Article URL:

http://www.emeraldinsight.com/10.1108/17563780810919087

Top