Advances in Classification and Data Analysis (Studies in Classification, Data Analysis, and Knowledge Organization) - Softcover

Softcover

ISBN 10: 3540414886 ISBN 13: 9783540414889

Publisher: Springer, 2001

Synopsis

This volume contains a selection of papers presented at the biannual meeting of the Classification and Data Analysis Group of Societa Italiana di Statistica, which was held in Rome, July 5-6, 1999. From the originally submitted papers, a careful review process led to the selection of 45 papers presented in four parts as follows: CLASSIFICATION AND MULTIDIMENSIONAL SCALING Cluster analysis Discriminant analysis Proximity structures analysis and Multidimensional Scaling Genetic algorithms and neural networks MUL TIV ARIA TE DATA ANALYSIS Factorial methods Textual data analysis Regression Models for Data Analysis Nonparametric methods SPATIAL AND TIME SERIES DATA ANALYSIS Time series analysis Spatial data analysis CASE STUDIES INTERNATIONAL FEDERATION OF CLASSIFICATION SOCIETIES The International Federation of Classification Societies (IFCS) is an agency for the dissemination of technical and scientific information concerning classification and data analysis in the broad sense and in as wide a range of applications as possible; founded in 1985 in Cambridge (UK) from the following Scientific Societies and Groups: British Classification Society -BCS; Classification Society of North America - CSNA; Gesellschaft fUr Klassifikation - GfKI; Japanese Classification Society -JCS; Classification Group of Italian Statistical Society - CGSIS; Societe Francophone de Classification -SFC. Now the IFCS includes also the following Societies: Dutch-Belgian Classification Society - VOC; Polish Classification Society -SKAD; Associayao Portuguesa de Classificayao e Analise de Dados -CLAD; Korean Classification Society -KCS; Group-at-Large.

About this title

Product Description

This volume presents new developments in classification and mulitivariate analysis. Topics that have been treated with considerable attention are cluster analysis, discriminant analysis, proximity structure analysis, multidimensional scaling, genetic algorithms, neural networks, factorial methods, textual data analysis, regression models, non-parametric methods, and spatial and time series analysis. Readers will find new methodologies and algorithms in topics that are of central interest in modern statistics, with applications that demonstrate the usefulness of the proposed techniques.

Edition details

• Publisher: Springer
• Publication date: 2001
• ISBN 10: 3540414886
• ISBN 13: 9783540414889
• Binding: Paperback
• Language: English
• Number of pages: 388
• Editor: Borra Simone, Rocci Roberto, Vichi Maurizio, Schader Martin