Recent Developments in Clustering and Data Analysis - 1st Edition - ISBN: 9780122154850, 9781483263090

Recent Developments in Clustering and Data Analysis

1st Edition

Développements Récents en Classification Automatique et Analyse des Données: Proceedings of the Japanese-French Scientific Seminar March 24–26, 1987

Editors: Chikio Hayashi Michel Jambu Edwin Diday
eBook ISBN: 9781483263090
Imprint: Academic Press
Published Date: 28th July 1988
Page Count: 468
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Description

Recent Developments in Clustering and Data Analysis presents the results of clustering and multidimensional data analysis research conducted primarily in Japan and France. This book focuses on the significance of the data itself and on the informatics of the data.

Organized into four sections encompassing 35 chapters, this book begins with an overview of the quantification of qualitative data as a method of analyzing statistically multidimensional data. This text then examines the rules of interpretation of correspondence cluster analysis by selecting classes and explaining variables involved in the algorithm of hierarchical classification. Other chapters consider the bootstrap and cross-validation methods, which are applied to the logistic ad nonparametric regression analyses of ordered categorical responses. The final chapter deals with a simpler treatment to classify the sleep state.

This book is a valuable resource for researchers and workers in the fields from the behavioral sciences, biological sciences, medicine, and industrial sciences.

Table of Contents


Contributors


Preface


Section 1 Data Analysis Techniques and Related Topics with Statistical Software


New Developments in Multidimensional Data Analysis


Interpretation of Some Data Analysis Methods


A General Euclidean Approach for Measuring and Describing Associations Between Several Sets of Variables


Data-Adaptive Methods in Multivariate Analysis


Specific Design of a Software for Multivariate Descriptive Statistical Analysis: The Case of SPAD.N


A Test of Goodness of Fit Based on Graphical Method


Graphical Analysis of Ranks


A Unified Study of Multivariate Data Analysis Methods by Nonlinear Formulations and Underlying Probabilistic Structures


Optimum Classification Boundaries Based on a Concomitant Variable in Sample Survey: Some Application to the Current Statistics of Commerce


On the Identification Problem of Age-Period-Cohort Analysis


Section 2 Automatic Classification and Related Techniques


Some Recent Advances in Clustering


Simultaneous Clustering of Cases amd Variances


Techniques of Approximation for Building Two Tree Structures


A Hierarchical Clustering Method for Dissimilarity Matrices with Individual Differences


Applications of Multivariate and Cladistic Data Analyses for the Classification of Dermapterous Insects


Comparing Relational Variables According to Likelihood of the Links Classification Method


Role of Computer Graphics in Interpretation of Clustering Results


Classification of Fruit and Vegetable Varieties by Chemical Analysis of Fragrance Substances


Section 3 Scaling Method and Correspondence Analysis from the Viewpoint of Practical Approach


Assessing the Number of Axes that Should Be Considered in Correspondence Analysis


Singular Valu

Details

No. of pages:
468
Language:
English
Copyright:
© Academic Press 1988
Published:
Imprint:
Academic Press
eBook ISBN:
9781483263090

About the Editor

Chikio Hayashi

Michel Jambu

Edwin Diday

Ratings and Reviews