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.
General
Imprint: |
John Wiley & Sons
|
Country of origin: |
United States |
Release date: |
May 2005 |
First published: |
March 2005 |
Authors: |
L. Kaufman
|
Dimensions: |
234 x 156 x 20mm (L x W x T) |
Format: |
Paperback
|
Pages: |
342 |
Edition: |
2nd Revised edition |
ISBN-13: |
978-0-471-73578-6 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
|
LSN: |
0-471-73578-7 |
Barcode: |
9780471735786 |
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