Cluster analysis / Brian S. Everitt ... [et al.].

Other author Everitt, Brian.
Format Electronic
Edition5th ed.
Publication InfoChichester, West Sussex, U.K. : Wiley,
Descriptionxii, 330 p. : ill. ; 24 cm.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

SeriesWiley series in probability and statistics
Wiley series in probability and statistics. ^A373775
Contents An introduction to classification and clustering -- Detecting clusters graphically -- Measurement of proximity -- Hierarchical clustering -- Optimization clustering techniques -- Finite mixture densities as models for cluster analysis -- Model-based cluster analysis for structured data -- Miscellaneous clustering methods -- Some final comments and guidelines.
Abstract "This edition provides a thorough revision of the fourth edition which focuses on the practical aspects of cluster analysis and covers new methodology in terms of longitudinal data and provides examples from bioinformatics. Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. This book includes an appendix of getting started on cluster analysis using R, as well as a comprehensive and up-to-date bibliography."-- Provided by publisher.
Abstract "This edition provides a thorough revision of the fourth edition which focuses on the practical aspects of cluster analysis and covers new methodology in terms of longitudinal data and provides examples from bioinformatics"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2010037932
ISBN9780470749913 (hardback)
ISBN0470749911 (hardback)
ISBN9780470977804 (ePDF)
ISBN0470977809 (ePDF)
ISBN9780470977811 (oBook)
ISBN0470977817 (oBook)
ISBN9780470978443 (ePub)
ISBN0470978449 (ePub)

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Electronic Resources Access Content Online ✔ Available