Grouping Multidimensional Data: Recent Advances in Clustering - Jacob Kogan - Books - Springer-Verlag Berlin and Heidelberg Gm - 9783540283485 - December 16, 2005
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Jacob Kogan
Grouping Multidimensional Data: Recent Advances in Clustering 2006 edition

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Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection. Kogan and his co-editors have put together recent advances in clustering large and high-dimension data.

268 pages, 36 black & white tables, biography

Media Books     Hardcover Book   (Book with hard spine and cover)
Released December 16, 2005
ISBN13 9783540283485
Publishers Springer-Verlag Berlin and Heidelberg Gm
Pages 268
Dimensions 155 × 235 × 20 mm   ·   539 g
Language German  
Editor Kogan, Jacob
Editor Nicholas, Charles
Editor Teboulle, Marc

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