Cluster Analysis

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Éditeur :

Wiley


Paru le : 2011-01-14

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Description

Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics.
This fifth edition of the highly successful Cluster Analysis includes coverage of the latest developments in the field and a new chapter dealing with finite mixture models for structured data.
Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. The book is comprehensive yet relatively non-mathematical, focusing on the practical aspects of cluster analysis.
Key Features: Presents a comprehensive guide to clustering techniques, with focus on the practical aspects of cluster analysis Provides a thorough revision of the fourth edition, including new developments in clustering longitudinal data and examples from bioinformatics and gene studies./li> Updates the chapter on mixture models to include recent developments and presents a new chapter on mixture modeling for structured data
Practitioners and researchers working in cluster analysis and data analysis will benefit from this book.
Pages
352 pages
Collection
n.c
Parution
2011-01-14
Marque
Wiley
EAN papier
9780470749913
EAN PDF
9780470977804

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
352
Taille du fichier
4434 Ko
Prix
76,96 €
EAN EPUB
9780470978443

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
352
Taille du fichier
4475 Ko
Prix
76,96 €

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