Cover Image

Classification, Clustering, and Data Analysis : Recent Advances and Applications /

Show other versions (1)

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...

Full description

Bibliographic Details
Main Author: Jajuga, Krzysztof
Corporate Author: SpringerLink (Online service)
Other Authors: SokoĊ‚owski, Andrzej, Bock, Hans Hermann
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2002.
Series:Studies in classification, data analysis, and knowledge organization.
Subjects:
Statistics.
Computer science.
Mathematical statistics.
Economics > Statistics.
Economics.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of 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.