Classification, Clustering and Data Analysis

Recent advances and applications

K. Jajuga, A. Sokolowski, H.-H. Bock

492 pages, parution le 08/07/2002

Ajouter à une liste

Indisponible

Résumé

This book deals with recent developments in classification and data analysis and presents new topics which are of central interest to modern statistics. In particular, these include: classification models and clustering methods, multivariate data analysis, symbolic data, neural networks and learning devices, phylogeny and bioinformatics, new software systems for classification and data analysis, as well as applications in social, economic, biological, medical and other sciences. The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems it is designed for researchers as well as for applied statisticians and will support the fast transfer of new methodological advances to a wide range of applications.

Contents

Clustering and Discrimination
Clustering
Cluster Validation
Discrimination
Multivariate Data Analysis and Statistics: Multivariate Data Analysis
Statistical Methods
Symbolic Data Analysis
Consensus Trees and Phylogenetics
Regression Trees
Neural Networks and Genetic Algorithms
Applications.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	K. Jajuga, A. Sokolowski, H.-H. Bock
Parution	08/07/2002
Nb. de pages	492
Couverture	Broché
Intérieur	Noir et Blanc
EAN13	9783540436195