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Please use this identifier to cite or link to this item: http://idr.iitbbs.ac.in/jspui/handle/2008/197
Title: Accurate partitional clustering algorithm based on immunized PSO
Authors: Nanda S.J.
Panda G.
Keywords: Accuracy of clustering
Clonal selection
Immunized PSO
Partitional clustering
Issue Date: 2012
Citation: 5
Abstract: Hybrid evolutionary algorithms are created by suitably combining the good features of two parent evolutionary algorithms, normally provide better solutions than the individual ones. In this paper we have formulated the partitional clustering as an optimization problem and solved it by a newly developed hybrid evolutionary algorithm Immunized PSO. Simulation studies on four benchmark UCI datasets demonstrate the superior performance of the proposed algorithm compared to the standard K-means, Correlation, PSO and CLONAL clustering algorithms in terms of percentage of accuracy, convergence characteristics, stability and computational efficiency achieved over fifty independent runs. � 2012 Pillay Engineering College.
URI: http://10.10.32.48:8080/jspui/handle/2008/197
Appears in Collections:Research Publications

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