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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| 主要な著者: | , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
2009
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| 主題: | |
| オンライン･アクセス: | 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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