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Classification and Clustering - 1st Edition - ISBN: 9780127142500, 9781483276618

Classification and Clustering

1st Edition

Proceedings of an Advanced Seminar Conducted by the Mathematics Research Center, the University of Wisconsin at Madison, May 3–5, 1976

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Editor: J. Van Ryzin
eBook ISBN: 9781483276618
Imprint: Academic Press
Published Date: 28th January 1977
Page Count: 478
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Classification and Clustering documents the proceedings of the Advanced Seminar on Classification and Clustering held in Madison, Wisconsin on May 3-5, 1976.

This compilation discusses the relationship between multidimensional scaling and clustering, distribution problems in clustering, and botryology of botryology. The graph theoretic techniques for cluster analysis algorithms, data dependent clustering techniques, and linguistic approach to pattern recognition are also elaborated. This text likewise covers the discriminant analysis when scale contamination is present in the initial sample and statistical basis of computerized diagnosis using the electrocardiogram. Other topics include the simple histogram method for nonparametric classification and optimal smoothing of density estimates.

This book is intended for mathematicians, biological scientists, social scientists, computer scientists, statisticians, and engineers interested in classification and clustering.

Table of Contents

List of Contributors


Clustering and Classification: Background and Current Directions

The Relationship Between Multidimensional Scaling and Clustering

Distribution Problems in Clustering

The Botryology of Botryology

Graph Theoretic Techniques for Cluster Analysis Algorithms

An Empirical Comparison of Baseline Models for Goodness-of-Fit in r-Diameter Hierarchical Clustering

Data Dependent Clustering Techniques

Cluster Analysis Applied to a Study of Race Mixture in Human Populations

Linguistic Approach to Pattern Recognition

Fuzzy Sets and Their Application to Pattern Classification and Clustering Analysis

Discrimination, Allocatory and Separatory, Linear Aspects

Discriminant Analysis When Scale Contamination Is Present in the Initial Sample

The Statistical Basis of Computerized Diagnosis Using the Electrocardiogram

Linear Discrimination and Some Further Results on Best Lower Dimensional Representations

A Simple Histogram Method for Nonparametric Classification

Optimal Smoothing of Density Estimates



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© Academic Press 1977
28th January 1977
Academic Press
eBook ISBN:

About the Editor

J. Van Ryzin

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