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.

lgrsnf/G:\!genesis\SD\9780122154850.pdf

nexusstc/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, 1987/369aa42c027bbb62bd4c11dbb3500c96.pdf

zlib/Mathematics/Edwin Diday, Michel Jambu/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_2367536.pdf

Recent developments in clustering and data analysis =: d'eveloppements r'ecents en classification automatique et analyse des donn'ees: proceedings of the Japanese-French Scientific Seminar, March 24-26, 1987

Japanese-French Scientific Seminar : Papers

Japanese-French Scientific Seminar (1987 Tokyo, Japan)

Chikio Hayashi; Michel Jambu; Edwin Diday

edited by Chikio Hayashi ... [et al.]

edited by Edwin Diday ... (et al.)

Diday, Edwin

Academic Press, Incorporated

Morgan Kaufmann Publishers

Brooks/Cole

United States, United States of America

Elsevier Ltd., Burlington, 2014

Boston etc, Unknown, 1988

England, 1988

August 1988

lg1199148

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Includes bibliographies.

Библиогр. в конце докл.

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Content:
Front Matter, Page iii
Copyright, Page iv
Contributors, Pages ix-xi
Preface, Pages xiii-xv, The Editors
NEW DEVELOPMENTS IN MULTIDIMENSIONAL DATA ANALYSIS, Pages 3-16, Chikio Hayashi
INTERPRETATION OF SOME DATA ANALYSIS METHODS, Pages 17-35, Michel Jambu
A GENERAL EUCLIDEAN APPROACH FOR MEASURING AND DESCRIBING ASSOCIATIONS BETWEEN SEVERAL SETS OF VARIABLES, Pages 37-48, Yves Schektman
DATA-ADAPTIVE METHODS IN MULTIVARIATE ANALYSIS, Pages 49-65, Takenobu Tasaki, Masashi Goto
SPECIFIC DESIGN OF A SOFTWARE FOR MULTIVARIATE DESCRIPTIVE STATISTICAL ANALYSIS THE CASE OF SPAD.N, Pages 67-78, Alain Morineau
A TEST OF GOODNESS OF FIT BASED ON GRAPHICAL METHOD, Pages 79-85, Kazumasa Wakimoto
GRAPHICAL ANALYSIS OF RANKS, Pages 87-96, Yasumasa Baba
A UNIFIED STUDY OF MULTIVARIATE DATA ANALYSIS METHODS BY NONLINEAR FORMULATIONS AND UNDERLYING PROBABILISTIC STRUCTURES, Pages 97-102, Nobuyuki Otsu, Takio Kurita, Hideki Asoh
OPTIMUM CLASSIFICATION BOUNDARIES BASED ON A CONCOMITANT VARIABLE IN SAMPLE SURVEY: SOME APPLICATION TO THE CURRENT STATISTICS OF COMMERCE, Pages 103-108, Shidou Sai, Masaaki Taguri
ON THE IDENTIFICATION PROBLEM OF AGE-PERIOD-COHORT ANALYSIS, Pages 109-116, Toshiro Tango
SOME RECENT ADVANCES IN CLUSTERING, Pages 119-136, Edwin Diday
SIMULTANEOUS CLUSTERING OF CASES AND VARIANCES, Pages 137-149, Yasuo Ohashi
TECHNIQUES OF APPROXIMATION FOR BUILDING TWO TREE STRUCTURES, Pages 151-170, M. Roux
A HIERARCHICAL CLUSTERING METHOD FOR DISSIMILARITY MATRICES WITH INDIVIDUAL DIFFERENCES, Pages 171-178, Tadashi Imaizumi
APPLICATIONS OF MULTIVARIATE AND CLADISTIC DATA ANALYSES FOR THE CLASSIFICATION OF DERMAPTEROUS INSECTS, Pages 179-185, Seiroku Sakai
COMPARING RELATIONAL VARIABLES ACCORDING TO LIKELIHOOD OF THE LINKS CLASSIFICATION METHOD, Pages 187-200, I.C. Lerman
ROLE OF COMPUTER GRAPHICS IN INTERPRETATION OF CLUSTERING RESULTS, Pages 201-222, Noboru Ohsumi
CLASSIFICATION OF FRUIT AND VEGETABLE VARIETIES BY CHEMICAL ANALYSIS OF FRAGRANCE SUBSTANCES, Pages 223-228, Shigeru Suzuki
ASSESSING THE NUMBER OF AXES THAT SHOULD BE CONSIDERED IN CORRESPONDENCE ANALYSIS, Pages 231-240, Yves Escoufier
SINGULAR VALUE DECOMPOSITION OF MULTIARRAY DATA AND ITS APPLICATIONS, Pages 241-257, Tadashi Yoshizawa
PARTIAL CORRESPONDENCE ANALYSIS AND ITS PROPERTIES, Pages 259-266, Haruo Yanai
CORRELATION ANALYSIS OF N-WAY QUALITATIVE DATA AND ITS APPLICATIONS, Pages 267-279, Shuichi Iwatsubo
OUTLIERS AND INFLUENTIAL OBSERVATIONS IN QUANTIFICATION THEORY, Pages 281-293, Yutaka Tanaka, Tomoyuki Tarumi
CONVERSATIONAL DATA ANALYSIS SYSTEM: Selection of Items and Pooling of Categories, Pages 295-305, Toshiro Haga
ANALYSIS AND COMPARISON OF DIEFERENT TABLES, Pages 307-321, Brigitte Escofier
USE OF TABULATED DATA IN DATA ANALYSIS, Pages 323-328, Shoichi Ueda
MULTIVARIATE DESCRIPTIVE TECHNIQUES APPLIED TO THE PROCESSING OF LONGITUDINAL SAMPLE SURVEY DATA, Pages 331-342, Ludovic Lebart
MULTIDIMENSIONAL ANALYSIS OF OPINION SURVEY DATA, Pages 343-372, Meiko Sugiyama
DATA ANALYTIC APPROACHES TO HUMAN BEHAVIORAL RELATIONSHIPS IN A SURVEY OF ACCIDENTS, Pages 373-380, Koya Kishida, Yoshio Sugasawa, Tomio Ito
ABOUT THE NUMERICAL AND STATISTICAL STABILITY OF FORECASTING ALGORITHMS, Pages 381-399, Guy der Megreditchian
THE METHOD OF PATTERN CLASSIFICATION AND ITS APPLICATION TO PROGNOSIS OF DISEASE, Pages 401-411, Tsutomu Komazawa
A NON PARAMETRIC DISCRIMINANT ANALYSIS BASED ON THE CONSTRUCTION OF A BINARY DECISION TREE, Pages 413-424, Jean-Pierre Nakache, Alice Gueguen
EXPERIMENTAL COMPARISON BETWEEN THE OPTIMAL DISCRIMINATE PLANE BASED ON SAMPLES AND GENERAL DISCRIMINANT ANALYSIS, Pages 425-435, Akihiko Miyake
A METHOD OF DISCRIMINATION FOR ELECTRICAL BIOSIGNAL, Pages 437-444, Satoki P. Ninomiya
CLASSIFICATION OF BEHAVIORAL STATES OF THE MOUSE, Pages 445-452, Keiji Yajima

2014-08-05