Multiple centers based fuzzy clustering for imbalanced data
Clustering for data mining is a useful technique in terms of identifying interesting distributions and discovering groups in the underlying data. K-means is a particular clustering technique that is world-renowned and widely spread for its low computational cost, which mainly includes the hard k-mea...
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| Format: | Thesis |
| Language: | English |
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2016
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| Online Access: | http://hdl.handle.net/10356/68529 |