Clustering

A Data Recovery Approach, Second Edition

Boris Mirkin

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Hardback

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English

Chapman & Hall/CRC
17 October 2012

Data mining

Covering both classical and modern approaches such as divisive clustering, this book uses in-depth case studies to illustrate how clustering methods can be applied. The case studies have been expanded and improved in this second edition. The author also presents new material on variable selection and weighting, similarity/relational data clustering, spectral clustering, and interpretation of clusters. This edition is also supplemented with a website that includes MATLAB(R) code and data sets for all of the examples presented in the text.

By: Boris Mirkin
Imprint: Chapman & Hall/CRC
Country of Publication: United States
Edition: 2nd edition
Volume: 19
Dimensions: Height: 234mm, Width: 156mm, Spine: 25mm
Weight: 861g
ISBN: 9781439838419
ISBN 10: 1439838410
Pages: 374
Publication Date: 17 October 2012
Audience: College/higher education , Further / Higher Education
Format: Hardback
Publisher's Status: Active

Boris Mirkin is a professor of computer science at the University of London, UK.

Reviews for Clustering: A Data Recovery Approach, Second Edition

Praise for the First Edition The particular decomposition studied in this book is the decomposition of the total sum of squares matrix into, between, and within cluster components, and the book develops this decomposition, and its associated diagnostics, further than I have seen them developed for cluster analysis before. Overall, the book presents an unusual ! approach to cluster analysis, from the perspective of someone who is clearly an enthusiast for the insights these tools can bring to understanding data. --D.J. Hand, Short Book Reviews of the ISI