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Classification, Clustering, and Data Mining Applications : Proceedings of the Meeting of the International Federation of Classification Societies (IFCS), Illinois Institute of Technology, Chicago, 15-18 July 2004 /

Modern data analysis stands at the interface of statistics, computer science, and discrete mathematics. This volume describes new methods in this area, with special emphasis on classification and cluster analysis. Those methods are applied to problems in information retrieval, phylogeny, medical dia...

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Bibliographic Details
Main Author: Banks, David
Corporate Author: SpringerLink (Online service)
Other Authors: McMorris, Frederick R., Arabie, Phipps, Gaul, Wolfgang
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2004.
Series:Studies in classification, data analysis, and knowledge organization.
Subjects:
Statistics.
Data structures (Computer science)
Computer science.
Information systems.
Mathematical statistics.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • New Methods in Cluster Analysis
  • Modern Nonparametrics
  • Classification and Dimension Reduction
  • Symbolic Data Analysis
  • Taxonomy and Medicine
  • Text Mining
  • Contingency Tables and Missing Data.