Finding Groups in Data : An Introduction to Cluster Analysis

Leonard Kaufman

ISBN 10: 0471735787 / ISBN 13: 9780471735786

Edité par Wiley Mär 2005, 2005

A propos de cet article

Neuware - The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.'Cluster analysis is the increasingly important and practical subject of finding groupings in data. The authors set out to write a book for the user who does not necessarily have an extensive background in mathematics. They succeed very well.'-Mathematical Reviews'Finding Groups in Data [is] a clear, readable, and interesting presentation of a small number of clustering methods. In addition, the book introduced some interesting innovations of applied value to clustering literature.'-Journal of Classification'This is a very good, easy-to-read, and practical book. It has many nice features and is highly recommended for students and practitioners in various fields of study.'-TechnometricsAn introduction to the practical application of cluster analysis, this text presents a selection of methods that together can deal with most applications. These methods are chosen for their robustness, consistency, and general applicability. This book discusses various types of data, including interval-scaled and binary variables as well as similarity data, and explains how these can be transformed prior to clustering. N° de réf. du vendeur 9780471735786

Détails bibliographiques

Titre : Finding Groups in Data : An Introduction to ...

Éditeur : Wiley Mär 2005

Date d'édition : 2005

Reliure : Taschenbuch

Etat : Neu

A propos de ce titre

Synopsis :

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

"Cluster analysis is the increasingly important and practical subject of finding groupings in data. The authors set out to write a book for the user who does not necessarily have an extensive background in mathematics. They succeed very well."
--Mathematical Reviews

"Finding Groups in Data [is] a clear, readable, and interesting presentation of a small number of clustering methods. In addition, the book introduced some interesting innovations of applied value to clustering literature."
--Journal of Classification

"This is a very good, easy-to-read, and practical book. It has many nice features and is highly recommended for students and practitioners in various fields of study."
--Technometrics

An introduction to the practical application of cluster analysis, this text presents a selection of methods that together can deal with most applications. These methods are chosen for their robustness, consistency, and general applicability. This book discusses various types of data, including interval-scaled and binary variables as well as similarity data, and explains how these can be transformed prior to clustering.

À propos de l?auteur:

LEONARD KAUFMAN, PhD, is affiliated with Vrije University in Brussels, Belgium.

PETER J. ROUSSEEUW, PhD, is a Professor in the Department of Mathematics and Computer Science at the University of Antwerp in Belgium.