Clustering and Classification by

Clustering and Classification

Studies in Computational Intelligence

500 pages missing pub info (view editions)

nonfiction computer science design mathematics informative reflective medium-paced
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At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made. Topics include: hierarchical clustering, variable selection and weighting, additive trees an...

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