Combining K-means and Particle Swarm Optimization for Dynamic Data Clustering Problems

碩士 === 大同大學 === 資訊經營學系(所) === 96 === This paper presents a dynamic data clustering algorithm named K-means with Combinatorial Particle Swarm Optimization (KCPSO). Unlike the K-means method, KCPSO does not need a specific number of clusters before clustering is performed and is able to find the prope...

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Bibliographic Details
Main Authors: Szu-yuan Lee, 李賜遠
Other Authors: Yu-cheng Kao
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/92588567584481842868