Finding Groups in Data: An Introduction to Cluster Analysis (Wiley Series in Probability and Statistics)
Language: English
Published by Wiley-Interscience, 1990
- First Edition
- Hardcover
- Used
Seller: Dorley House Books, Inc., Hagerstown, MD, U.S.A.Dorley House Books, Inc.
AbeBooks seller since October 25, 2006
Condition: Used - Near fine
£ 73.15
Quantity: 1 available
Add to basketItem description from seller
dj in mylar; black c w/gilt titles, red decorations; 342 clean, unmarked pages/ appendices references /indexes.a foundational statistical text that provides a practical, easy-to-read guide to clustering algorithms. It focuses on robust, non-parametric methods—such as PAM, CLARA, FANNY, and AGNES—designed to identify natural groupings and patterns in datasets without requiring an extensive mathematical background.
Seller Inventory # 1254261
- Title
- Finding Groups in Data: An Introduction to Cluster Analysis (Wiley Series in Probability and Statistics)
- Author
- Kaufman, Leonard
- Publisher
- Wiley-Interscience
- Publication year
- 1990
- Condition
- Near Fine
- Dust jacket
- Near Fine
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471878766
- ISBN 13
- 9780471878766
- Illustrator
- tables, formulae, etc
- Edition
- 1st Edition
- Printing
- 1st Printing
- Dimensions
- 8vo
"Synopsis" may belong to another edition of this title.
From the Back Cover
"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.
"About the title" may belong to another edition of this title.
Dorley House Books, Inc.
Hagerstown, MD, U.S.A.
AbeBooks seller since October 25, 2006
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