St@tServ Statistical Online Bookstore
Classification

In Association with Amazon.com

The books are sorted alphabetically, considering the title of the book. Click on the title of the book to order it with Amazon.com

Title /
Author(s)
Year /
Publisher
Comments
Algorithms for Clustering Data
Anil K. Jain, Richard C. Dubes
1987
John Wiley & Sons
 
Applied Discriminant Analysis Book and Disk
Carl J. Huberty
1994
John Wiley & Sons
 
Classification, Pattern Recognition, and Reduction of Dimension
P. R. Krishnaiah, L. N. Kanal
1982
Elsevier Science Ltd
 
Cluster Analysis
Brian S. Everitt
1993
John Wiley & Sons
 
Cluster Analysis
Mark Aldenderfer, Rogert Blashfield
1984
Sage Publications
 
Cluster Analysis for Researchers
H. Charles Romesburg
1990
Krieger Publishing Company
 
Clustering and Classification (Hardcover or Paperback)
Phipps Arabie, L. J. Hubert, G. De Soete
1996
World Scientific Pub Co
 
Computer-Assisted Reasoning in Cluster Analysis/Book and Disk
E. Backer
1995
World Scientific Pub Co
A textbook for a course in cluster analysis for graduate students in computer science, engineering, and related fields. Introduces the methodology of cluster analysis, knowledge-based expert systems, and reasoning under uncertainty. Includes the EDAPLUS software package.
Finding Groups in Data: An Introduction to Cluster Analysis
Leonard Kaufman, Peter J. Rousseeuw
1990
John Wiley & Sons
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.
Fuzzy Models for Pattern Recognition : Methods That Search for Structures in Dat
James C. Bezdek, Sankar K. Pal (Editor), Sankar E. Pal
1992
IEEE
Collections seminal papers on the subject, beginning with Zadeh's original 1965 article on fuzzy sets and proceedings chronologically through the evolution of fuzzy algorithms for feature analysis, clustering, classifier design, neural network learning, image processing, and computer vision.
Mathematical Classification and Clustering
Boris Mirkin
1996
Kluwer Academic Pub
The goal of the book is threefold: first, to serve as a reference for the enormous amount of existing clustering concepts and methods; second, to be used as a textbook; and, third, to present the author's and his Russian colleagues' results in the perspective of current developments.
Mixture Models : Inference and Applications to Clustering
Geoffrey J. McLachlan, Kaye E. Basford
1987
Marcel Dekker
 
Pattern Recognition With Fuzzy Objective Function Algorithms
James C. Bezdek
1981
Plenum Pub Corp
 
Pattern-Analytical Clustering : Theory, Method, Research, and Configural Findings
Louis L. McQuitty
1987
University Press of America
 
Similarity and Clustering in Chemical Information Systems
Peter Willett
1987
John Wiley & Sons
 
The Interpretation of Analytical Chemical Data by the Use of Cluster Analysis
Desire L. Massart
1989
Krieger Publishing Company
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.
Construction and Assessment of Classification Rules
D. J. Hand
1997
John Wiley & Sons
 
Introduction to Configural Frequency Analysis : The Search for Types and Antitypes in Cross-Classifications
Alexander Von Eye
1990
Cambridge Univ Pr
Use of Discriminant Analysis
Discriminant Analysis
William R. Klecka
1980
Sage Pubns
 
Clustering and Classification
Phipps Arabie, Lawrence J. Hubert, Geert Soete
1996
World Scientific Pub Co
 
Classification, Pattern Recognition, and Reduction of Dimension
P. R. Krishnaiah, L. N. Kanal
1982
Elsevier Science Ltd
 
Classification As a Tool of Research
W. Gaul, M. Schader
1986
Elsevier Science Ltd
 
Applied Discriminant Analysis/Book and Disk
Carl J. Huberty
1994
John Wiley & Sons
 


Copyright St@tServ 1997 - 1999 , All rigths reserved
Click here to send information to the St@tServ contributors.