Recent Developments in Clustering and Data Analysis
eBook - PDF

Recent Developments in Clustering and Data Analysis

DĂ©veloppements RĂ©cents en Classification Automatique et Analyse des DonnĂ©es: Proceedings of the Japanese-French Scientific Seminar March 24–26, 1987

  1. 468 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Recent Developments in Clustering and Data Analysis

DĂ©veloppements RĂ©cents en Classification Automatique et Analyse des DonnĂ©es: Proceedings of the Japanese-French Scientific Seminar March 24–26, 1987

About this book

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.

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Yes, you can access Recent Developments in Clustering and Data Analysis by Chikio Hayashi,Michel Jambu,Edwin Diday in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2014
Print ISBN
9780122154850
eBook ISBN
9781483263090
Topic
Mathematics
Subtopic
Applied Mathematics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Recent Developments in Clustering and Data Analysis: Développements Récents en Classification Automatique et Analyse des Données
  3. Copyright Page
  4. Table of Contents
  5. Contributors
  6. Preface
  7. Section 1: Data Analysis Techniques and Related Topics with Statistical Software
  8. Section 2: Automatic Classification and Related Techniques
  9. Section 3: Scaling Method and Correspondence Analysis from the Viewpoint of Practical Approach
  10. Section 4: Applications: Extraction and Interpretation of Information in Multidimensional Data