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Clustering : a data recovery approach / Boris Mirkin.

By: Contributor(s): Material type: TextTextSeries: Series in computer science and data analysisPublication details: Boca Raton : CRC Press, 2013.Edition: 2nd edDescription: xxiii, 350 p. : ill. ; 25 cmISBN:
  • 9781439838419
Subject(s): LOC classification:
  • QA76.9.D343 M57 2013
Available additional physical forms:
  • Also available as an electronic resource.
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 as an electronic resource.

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