Clustering for Data Mining: A Data Recovery Approach

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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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書目詳細資料
主要作者:	Mirkin, Boris
格式:	圖書
語言:	English
出版:	CRC Press 2009
在線閱讀:	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1410
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

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