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Published in:   Vol. 2 Issue 2 Date of Publication:   December 2013

Improve the Performance of Clustering Using Combination of Multiple Clustering Algorithms

Kommineni Jenni,Sabahath Khatoon, Sehrish Aqeel

Page(s):   59-63 ISSN:   2278-2397
DOI:   10.20894/IJDMTA.102.002.002.005 Publisher:   Integrated Intelligent Research (IIR)


  1. A. Jain, M. Murty and P.Flynn,   "Data Clustering: A Review",   ACM computing surveys   ,Vol.31   ,1999
    View Artical

  2. R. Xu,   "Survey of Clustering Algorithms",   IEEE Transactions on Neural Networks   ,Vol.16   ,Issue 3   ,2005
    View Artical

  3. M. Steinbach, G. Karypis and V. Kumar,   "A Comparison of Document Clustering Techniques",   Proceeding of the KDD Workshop on Text Mining   ,2000
    View Artical

  4. R. Duda and P. Hart,   "Pattern Classification and scene Analysis",   John Wiley and Sons   ,1973
    View Artical

  5. J. Hartigan and M. Wong,   "A k-means Clustering Algorithm",   Applied Statistics   ,Vol.28   ,1979
    View Artical

  6. J. Bezdek, R. Ehrlich, and W. Full,   "The Fuzzy C-Means Clustering Algorithm",   Computers and Geosciences   ,Vol.10   ,1984
    View Artical

  7. S. M. Savaresi and D. Boley,   "On the Performance of Bisecting K-means and PDDP",   In Proc. of the 1st SIAM Int. Conf. on Data Mining   ,2001
    View Artical

  8. D. Boley,   "Principal Direction Divisive Partitioning",   Data Mining and Knowledge Discovery   ,1998
    View Artical

  9. M. Ester, P. Kriegel., J. Sander, and X. Xu,   "A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise",   Proc. 2nd Int.Conf. on Knowledge Discovery and Dat   ,1996
    View Artical

  10. K. Hammouda and M. Kamel,   "Collaborative Document Clustering",   SIAM Conference on Data Mining   ,2006
    View Artical

  11. A. Strehl and J. Ghosh,   "Cluster ensembles ? knowledge reuse framework for combining partitionings",   In conference on Artificial Intelligence   ,2002
    View Artical

  12. Y. Qian and C. Suen,   "Clustering combination method",   In International Conference on Pattern Recognition   ,Vol.2   ,2000
    View Artical

  13. H. Ayad, M. Kamel,,   "Cumulative Voting Consensus Method for Partitions with Variable Number of Clusters",   IEEE Transactions on Pattern Analysis and Machine    ,2007
    View Artical

  14. Y. Eng, C. Kwoh, and Z. Zhou,   "On the Two-Level Hybrid Clustering Algorithm",   International Conference on Artificial Intelligenc   ,2004
    View Artical

  15. S. Xu and J. Zhang,   "A Hybrid Parallel Web Document Clustering Algorithm and its Performance Study",   Journal of Supercomputing   ,Vol.30   ,Issue 2   ,2004
    View Artical

  16. W. Gropp E. Lusk and A. Skjellum,   "Using MPI, Portable Parallel Programming with Message Passing Interface",   The MIT Press, Cambridge   ,1996
    View Artical

  17. U. Maulik, S. Bandyopadhyay,   "Performance Evaluation of Some Clustering Algorithms and Validity Indices",   IEEE Transactions on Pattern Analysis and Machine    ,Vol.24   ,Issue 12   ,2002
    View Artical

  18. R. Kashef, Student, M. S. Kamel,   "Hard-Fuzzy Clustering: A Cooperative Approach   ,2007
    View Artical

  19. Lan Li, Wan-chun Wu, Qiao-mei Rong,   "Research on Hybrid Clustering Based on Density and Ant Colony Algorithm",   Second International Workshop on Education Technol   ,2010
    View Artical

  20. L. Jing, K. Ng Michael and J. Huang,   "An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data",   IEEE Transactions on Knowledge and Data Engineerin   ,2007
    View Artical

  21. A.KJain, M.N. Murty and PJ .Flynn,   "Data clustering: a reView",   ACM Computing Surveys   ,Vol.31   ,Issue 3   ,1999
    View Artical

  22. X. Rui,   "Survey ofclustering algorithms",   IEEE Transactions on Neural Networks   ,Vol.16   ,Issue 3   ,2005
    View Artical

  23. P.Willett,   "Recent trends in hierarchical document clustering: a critical review",   Information processing and management   ,Vol.24   ,1988
    View Artical

  24. R. Cutting, D. R. Karger, J. O. Pedersen, and J. W.Tukey,   "Scatterlgather:A cluster-based approach to browsing large document collections",   In Proceedings of the Fifteenth Annual Internation   ,1992
    View Artical

  25. R. C. Dubes and A. K. Jain,   "Algorithms for Clustering Data",   Prentice Hall College Div, Englewood Cliffs, NJ, M   ,1998
    View Artical

  26. M. Steinbach, G. Karypis, and V. Kumar,   "A comparison of document clustering techniques",   KDD Workshop on Text Mining   ,2000
    View Artical

  27. N. R. Pal and J. C. Bezdek,   "On cluster validity for the fuzzy c-means model",   IEEE Trans. Fuzzy Systems   ,Vol.3   ,1995
    View Artical

  28. J. C. Bezdek and N. R. Pal,   "Some new indexes of cluster validity",   IEEE Trans. Syst. Man. Cybern   ,Vol.28   ,1998
    View Artical