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Grouping Multidimensional Data: Recent Advances in Clustering [Hardcover]

By Jacob Kogan (Editor), Charles K. Nicholas (Editor) & Marc Teboulle (Editor)
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Item description for Grouping Multidimensional Data: Recent Advances in Clustering by Jacob Kogan, Charles K. Nicholas & Marc Teboulle...

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.

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Item Specifications...

Pages   268
Est. Packaging Dimensions:   Length: 0.75" Width: 6.25" Height: 9.25"
Weight:   1.2 lbs.
Binding  Hardcover
Release Date   Feb 10, 2006
Publisher   Springer
ISBN  354028348X  
ISBN13  9783540283485  

Availability  140 units.
Availability accurate as of Oct 27, 2016 06:46.
Usually ships within one to two business days from La Vergne, TN.
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More About Jacob Kogan, Charles K. Nicholas & Marc Teboulle

Register your artisan biography and upload your photo! Jacob Kogan is an Associate Professor in the Department of Mathematics and Statistics at the University of Maryland, Baltimore County. Dr. Kogan received his PhD in Mathematics from Weizmann Institute of Science, has held teaching and research positions at the University of Toronto and Purdue University. His research interests include Text and Data Mining, Optimization, Calculus of Variations, Optimal Control Theory, and Robust Stability of Control Systems. Dr. Kogan is the author of Bifurcations of Extremals in Optimal Control and Robust Stability and Convexity: An Introduction. Since 2001, he has also been affiliated with the Department of Computer Science and Electrical Engineering at UMBC. Dr. Kogan is a recipient of 2004 2005 Fulbright Fellowship to Israel. Together with Charles Nicholas of UMBC and Marc Teboulle of Tel-Aviv University he is co-editor of the volume Grouping Multidimensional Data: Recent Advances in Clustering.

Jacob Kogan was born in 1954 and has an academic affiliation as follows - University of Maryland Baltimore County University of Maryland, Baltim.

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Product Categories

1Books > Special Features > Formats
2Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Machine Vision
3Books > Subjects > Computers & Internet > Computer Science > Software Engineering > Information Systems
4Books > Subjects > Computers & Internet > Databases > Data Storage & Management > Data Mining
5Books > Subjects > Computers & Internet > Databases > General
6Books > Subjects > Computers & Internet > General

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