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Clustering methodology for symbolic data /

This book presents all of the latest developments in the field of clustering methodology for symbolic data--paying special attention to the classification methodology for multi-valued list, interval-valued and histogram-valued data methodology, along with numerous worked examples. The book also offe...

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Bibliographic Details
Main Authors: Billard, L. (Lynne), 1943- (Author), Diday, E. (Author)
Format: eBook
Language:English
Published: Hoboken, NJ : Wiley, 2020.
Series:Wiley series in computational statistics.
Subjects:
Cluster analysis.
Multivariate analysis.
Multivariate Analysis
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction
  • Symbolic data: basics
  • Dissimilarity, similarity, and distance measures
  • Dissimilarity, similarity, and distance measures: modal data
  • General clustering techniques
  • Partitioning techniques
  • Divisive hierarchical clustering
  • Agglomerative hierarchical clustering.