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Grouping Multidimensional Data

Name: Grouping Multidimensional Data
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 01561012
Price: 102.67 EUR
Availability: InStock
Author: Jacob Kogan
ISBN: 9783540283485

Recent Advances in Clustering

Jacob Kogan

Charles Nicholas

Marc Teboulle

Language

English

Book Hardback

Libristo code: 01561012

Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, December 2005

Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be... Full description

Libristo code: 01561012

249 b

102.67 €

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Clustering is one of the most fundamental and essential data analysis techniques. 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. Their volume addresses new topics and methods which are central to modern data analysis, with particular emphasis on linear algebra tools, opimization methods and statistical techniques. The contributions, written by leading researchers from both academia and industry, cover theoretical basics as well as application and evaluation of algorithms, and thus provide an excellent state-of-the-art overview.The level of detail, the breadth of coverage, and the comprehensive bibliography make this book a perfect fit for researchers and graduate students in data mining and in many other important related application areas.