Recent Developments in Clustering and Data Analysis

Recent Developments in Clustering and Data Analysis

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

1st Edition - July 28, 1988

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  • Editors: Chikio Hayashi, Michel Jambu, Edwin Diday
  • eBook ISBN: 9781483263090

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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 Value Decomposition of Multiarray Data and Its Applications

    Partial Correspondence Analysis and Its Properties

    Correlation Analysis of N-Way Qualitative Data and Its Applications

    Outliers and Influential Observations in Quantification Theory

    Conversational Data Analysis System: Selection of Items and Pooling of Categories

    Analysis and Comparison of Different Tables

    Use of Tabulated Data in Data Analysis

    Section 4 Applications: Extraction and Interpretation of Information in Multidimensional Data

    Mutivariate Descriptive Techniques Applied to the Processing of Longitudinal Sample Survey Data

    Multidimensional Analysis of Opinion Survey Data

    Data Analytic Approaches to Human Behavioral Relationships in Survey of Accidents

    About the Numerical and Statistical Stability of Forecasting Algorithms

    The Method of Pattern Classification and Its Application to Prognosis of Disease

    A Non Parametric Discriminant Analysis Based on the Construction of a Binary Decision Tree

    Experimental Comparison Between the Optimal Discriminate Plane Based on Samples and General Discriminant Analysis

    A Method of Discrimination for Electrical Biosignal

    Classification of Behavioral States of the Mouse

Product details

  • No. of pages: 468
  • Language: English
  • Copyright: © Academic Press 1988
  • Published: July 28, 1988
  • Imprint: Academic Press
  • eBook ISBN: 9781483263090

About the Editors

Chikio Hayashi

Michel Jambu

Edwin Diday

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