Intro Clust Large High Dimens Data

Name: Intro Clust Large High Dimens Data
Brand: Cambridge University Press
SKU: 9780521617932
Price: 5676.00 INR
Availability: InStock
ISBN: 9780521617932

Contributor(s): Kogan, Jacob Author Format: Paperback

Paperback · ISBN 9780521617932

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Key Specifications

ISBN	9780521617932
Publisher	Cambridge University Press
Publication date	February 2007
Language	English
MRP	£40.00 GBP
Page count	222
Item weight	67 g

There is a growing need for a more automated system of partitioning data sets into groups, or clusters. For example, digital libraries and the World Wide Web continue to grow exponentially, the ability to find useful information increasingly depends on the indexing infrastructure or search engine. Clustering techniques can be used to discover natural groups in data sets and to identify abstract structures that might reside there, without having any background knowledge of the characteristics of the data. Clustering has been used in a variety of areas, including computer vision, VLSI design, data mining, bio-informatics (gene expression analysis), and information retrieval, to name just a few. This book focuses on a few of the most important clustering algorithms, providing a detailed account of these major models in an information retrieval context. The beginning chapters introduce the classic algorithms in detail, while the later chapters describe clustering through divergences and show recent research for more advanced audiences.

Intro Clust Large High Dimens Data

Key Specifications

Kogan, Jacob Author

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