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Clustering [electronic resource] : a data recovery approach / Boris Mirkin.

By: Mirkin, B. G. (Boris Grigor�evich)Contributor(s): Mirkin, B. G. (Boris Grigor�evich). Clustering for data miningMaterial type: TextTextSeries: Series in computer science and data analysisPublication details: Boca Raton : CRC Press, 2013. Edition: 2nd edDescription: xxiii, 350 p. : illISBN: 9781439838426 (ebook : PDF)Subject(s): Data mining | Cluster analysis | Data recovery (Computer science)Genre/Form: Electronic books.Additional physical formats: No titleOnline resources: Click here to access online Also available in print edition.
Contents:
1. What is clustering? -- 2. What is data? -- 3. K-means clustering and related approaches -- 4. Least-squares hierarchical clustering -- 5. Similarity clustering : uniform, modularity, additive, spectral, consensus, and single linkage -- 6. Validation and interpretation -- 7. Least-squares data recovery clustering models.
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Earlier ed. published under title: Clustering for data mining.

"A Chapman & Hall book."

Includes bibliographical references (p. 329-340) and index.

1. What is clustering? -- 2. What is data? -- 3. K-means clustering and related approaches -- 4. Least-squares hierarchical clustering -- 5. Similarity clustering : uniform, modularity, additive, spectral, consensus, and single linkage -- 6. Validation and interpretation -- 7. Least-squares data recovery clustering models.

Also available in print edition.

Mode of access: World Wide Web.

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