Research Article

Article:A Survey of Clustering Techniques

by  Pradeep Rai, Shubha Singh
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Issue 12
Published: October 2010
Authors: Pradeep Rai, Shubha Singh
10.5120/1326-1808
PDF

Pradeep Rai, Shubha Singh . Article:A Survey of Clustering Techniques. International Journal of Computer Applications. 7, 12 (October 2010), 1-5. DOI=10.5120/1326-1808

                        @article{ 10.5120/1326-1808,
                        author  = { Pradeep Rai,Shubha Singh },
                        title   = { Article:A Survey of Clustering Techniques },
                        journal = { International Journal of Computer Applications },
                        year    = { 2010 },
                        volume  = { 7 },
                        number  = { 12 },
                        pages   = { 1-5 },
                        doi     = { 10.5120/1326-1808 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2010
                        %A Pradeep Rai
                        %A Shubha Singh
                        %T Article:A Survey of Clustering Techniques%T 
                        %J International Journal of Computer Applications
                        %V 7
                        %N 12
                        %P 1-5
                        %R 10.5120/1326-1808
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

The goal of this survey is to provide a comprehensive review of different clustering techniques in data mining.

References
  • M. Marin, A. van, Deursen, and L. Moonen. Identifying Aspects Using Fan-in Analysis. In Proceedings of the 11th Working Conference on Reverse Engineering (WCRE2004), pages 132_141. IEEE Computer Society, 2004.
  • G. S. Moldovan and G. Serban. Aspect Mining using a Vector-Space Model Based ClusteringApproach. In Proceedings of Linking Aspect Technology and Evolution Workshop(LATE 2006), Bonn, Germany, March 2006.
  • G. S. Moldovan and G. Serban. Quality Measures for Evaluating the Results of Clustering Based Aspect Mining Techniques. In Proceedings of Towards Evaluation of Aspect Mining(TEAM), ECOOP, 2006, to be published.
  • Orlando Alejo Mendez Morales. Aspect Mining Using Clone Detection. Master's thesis, Delft University of Technology, The Netherlands, August 2004.
  • D. Shepherd and L. Pollock. Interfaces, Aspects, and Views. In Proceedings of Linking AspectTechnology and Evolution Workshop(LATE 2005), March 2005.
  • P. Tonella and M. Ceccato. Aspect Mining through the Formal Concept Analysis of Execution Traces. In Proceedings of the IEEE Eleventh Working Conference on Reverse Engineering(WCRE 2004), pages 112_121, November 2004.
  • L. D. Baker and A. McCallum. Distributional clustering of words for text classification. In SIGIR ’98: Proceedings of the 21st Annual International ACM SIGIR, pages 96–103. ACM, August1998.
  • R. Bekkerman, R. El-Yaniv, Y. Winter, and N. Tishby. On feature distributional clustering for text categorization. In ACM SIGIR, pages 146–153, 2001.
  • P. Berkhin and J. D. Becher. Learning simple relations: Theory and applications. In Proceedings of the The Second SIAM International Conference on Data Mining, pages 420–436, 2002.
  • B. E. Boser, I. Guyon, and V. Vapnik. A training algorithm for optimal margin classifiers. In COLT, pages 144–152, 1992.
  • P. S. Bradley and O. L. Mangasarian. k-plane clustering. Journal of Global Optimization, 16(1): 23–32, 2000.
  • S. Chakrabarti, B. Dom, R. Agrawal, and P. Raghavan. Using taxonomy, discriminants, and signatures for navigating in text databases. In Proceedings of the 23rd VLDB Conference, Athens, Greece, 1997.
  • T. M. Cover and J. A. Thomas. Elements of Information Theory. John Wiley & Sons, New York, USA, 1991.
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Clustering Techniques Data mining

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