Clustering Algorithms and Techniques: A Survey

International Journal of Computer Science (IJCS Journal) Published by SK Research Group of Companies (SKRGC) Scholarly Peer Reviewed Research Journals

Format: Volume 1, Issue 2, No 2, 2013.

Copyright: All Rights Reserved ©2013

Year of Publication: 2013

Author: S.Neelamegam,Dr.E.Ramaraj

Reference:IJCS-012

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Abstract

The goal of this survey provide the best knowledge about the clustering and their algorithms. Nowadays lot of algorithms is available in clustering. This survey very useful for initial level clustering practitioners. Different clustering algorithms are discussed in this paper.

References

1. Data Clustering and Its Applications ://members.tripod.com/asim_saeed/paper.htm 2. A Survey of Clustering Techniques International Journal of Computer Applications (0975 – 8887) Volume 7– No.12, October 2010 3. Introduction to partitioning based clustering methods with a robust example ISSN 14564378 4. http://www.scialert.net/fulltext/?doi=itj.2011.478.484&org=11 5. A survey of cluster analysis International journal of Computer science.Vol-7 No-12, October 2010. 6. Probabilistic D-Clustering Journal of Classification 25 (2007) DOI: 10.1007/s00357-007-0021-y. 7. Survey of Clustering Data Mining Techniques, Pavel Berkhin, Accrue Software, Inc 8. A Survey: Clustering Ensembles Techniques World Academy of Science, Engineering and Technology 26 2009 9. A Possibilistic Fuzzy c-Means Clustering Algorithm IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 13, NO. 4, AUGUST 2005.


Keywords

Clustering, Machine learning, Data mining.

This work is licensed under a Creative Commons Attribution 3.0 Unported License.   

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