A near-optimal centroids initialization in K-means algorithm using bees algorithm

The K-mean algorithm is one of the popular clustering techniques.The algorithm requires user to state and initialize centroid values of each group in advance. This creates problem for novice users especially to those who have no or little knowledge on the data.Trial-error attempt might be one of the...

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Main Authors: Mahmuddin, Massudi, Yusof, Yuhanis
格式: Conference or Workshop Item
语言:English
出版: 2009
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在线阅读:http://repo.uum.edu.my/13501/1/PID98.pdf
http://repo.uum.edu.my/13501/
http://www.icoci.cms.net.my
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