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Mathematical classification and clustering /

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The goal of the book is threefold: first, to serve as a reference for the enormous amount of existing clustering concepts and methods; second, to be used as a textbook; and, third, to present the author's and his Russian colleagues' results in the perspective of current developments.

Bibliographic Details
Main Author: Mirkin, B. G. (Boris Grigorʹevich)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Dordrecht ; Boston : Kluwer Academic Publishers, [1996]
Series:Nonconvex optimization and its applications ; volume 11.
Subjects:
Discriminant analysis.
Cluster analysis.
optimisation.
table.
algorithme tri.
analyse donnée.
classification automatique.
Clusteranalyse.
Discriminantanalyse.
Analyse discriminante.
Classification automatique (statistique)
Cluster-Analyse.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1. Classes and Clusters
  • 2. Geometry of Data
  • 3. Clustering Algorithms: a Review
  • 4. Single Cluster Clustering
  • 5. Partition: Square Data Table
  • 6. Partition: Rectangular Data Table
  • 7. Hierarchy as a Clustering Structure.