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A Comparison of cluster analysis based on profile of LPGA player profile in 2009  

Min, Dae-Kee (Department of Information and Statistics, Duksung Women's University)
Publication Information
Journal of the Korean Data and Information Science Society / v.21, no.3, 2010 , pp. 471-480 More about this Journal
Abstract
Cluster analysis is one of the useful methods to find out number of groups and member’s belongings. With the rapid development of computer application in statistics, variety of new methods in clustering analysis were studied such as EM algorism and Self organization maps. The goals of cluster analysis is finding the number of groupings that are meaningful to me. If data are analyzed perfectly with cluster analysis, we can get the same results from discernment analysis.
Keywords
Classification ratio; entropy; self-organization maps;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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