Hybrid optimization for k-means clustering learning enhancement
In recent years, combinational optimization issues are introduced as critical problems in clustering algorithms to partition data in a way that optimizes the performance of clustering. K-means algorithm is one of the famous and more popular clustering algorithms which can be simply implemented and i...
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| Format: | Thesis |
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2016-01.
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| Online Access: | Get fulltext |