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: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | 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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