Clustering: A Data Recovery Approach, Second Edition, Edition 2
2016年4月 · CRC Press
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374
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關於這本電子書
Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods-K-Means for partitioning and Ward's method for hierarchical clustering-have lacked the theoretical underpinning req
關於作者
Boris Mirkin is a professor of computer science at the University of London, UK.
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