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Item Details
Title: INTRODUCTION TO CLUSTERING LARGE AND HIGH-DIMENSIONAL DATA
By: Jacob Kogan
Format: Hardback

List price: £55.00


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 0521852676
ISBN 13: 9780521852678
Publisher: CAMBRIDGE UNIVERSITY PRESS
Pub. date: 13 November, 2006
Pages: 222
Description: Focuses on a few of the important clustering algorithms in the context of information retrieval.
Synopsis: 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.
Publication: UK
Imprint: Cambridge University Press
Returns: Returnable
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