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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主要作者: Farhang, Yousef
格式: Thesis
语言:English
出版: 2016
主题:
在线阅读:http://eprints.utm.my/id/eprint/78635/1/YousefFarhangPFC2016.pdf
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