Grouping multidimensional data : recent advances in clustering /

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Bibliographic Details
Imprint:Berlin ; New York : Springer, c2006.
Description:1 online resource (xii, 268 p.) : ill.
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8879476
Hidden Bibliographic Details
Other authors / contributors:Kogan, Jacob, 1954-
Nicholas, Charles K., 1957-
Teboulle, M.
ISBN:9783540283492
3540283498
Notes:Includes bibliographical references (p. [239]-264) and index.
Description based on print version record.
Summary:"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, optimization 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."--Jacket.
Other form:Print version: Grouping multidimensional data. Berlin ; New York : Springer, c2006 354028348X 9783540283485