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A New Approach for Data Clustering Based on PSO with Local Search
2008
Computer and Information Science
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. The term "clustering" is used in several research communities to describe methods for grouping of unlabeled data. These communities have different terminologies and assumptions for the components of the clustering process and the context in which clustering is used. This paper looks into the use of Particle Swarm Optimization (PSO) for cluster analysis. In standard PSO the non-oscillatory
doi:10.5539/cis.v1n4p139
fatcat:2jmdjosl2nctpbdqaedbazfpfq