Finding Groups in Data: An Introduction to Cluster Analysis (Wiley Series in Probability and Statistics)

Kaufman, Leonard

ISBN 10: 0471878766 / ISBN 13: 9780471878766

Published by Wiley Interscience, 1990

About this Item

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. Dust jacket in fair condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9780471878766.

Seller Inventory # 7094132

Bibliographic Details

• Title: Finding Groups in Data: An Introduction to Cluster Analysis (Wiley Series in Probability and Statistics)
• Publisher: Wiley Interscience
• Publication Date: 1990
• Language: English
• ISBN 10: 0471878766
• ISBN 13: 9780471878766
• Binding: Hardcover
• Condition: Fair
• Dust Jacket Condition: Dust Jacket Included
• Weight: 800 grams
• Seller catalogs:
  • Mathematics

About this title

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.

From the Publisher

An introduction to the practical application of cluster analysis, this text presents a selection of methods which together can deal with most applications. These methods are chosen for their robustness, consistency and general applicability. Discusses the main approaches to clustering and provides guidance in choosing between the available methods. Also 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. Contains numerous exercises.