Clustering for Data Mining: A Data Recovery Approach

Often considered more as an art than a science, the field of clustering has been dominated by learning through examples and by techniques chosen almost through trial-and-error. Even the most popular clustering methods--K-Means for partitioning the data set and Ward's method for hierarchical clu...

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書誌詳細
第一著者: Mirkin, Boris
フォーマット: 図書
言語:English
出版事項: CRC Press 2009
オンライン・アクセス:https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1410
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