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Summary
Features
Table of Contents
Classification, Second Edition
A.D. Gordon
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Introduction

  • Classification, Assignment, and Dissection
  • Aims of Classification
  • Stages in a Numerical Classification
  • Data Sets

Measures of Similarity and Dissimilarity

  • Introduction
  • Selected Measures of Similarity and
  • Dissimilarity
  • Some Difficulties
  • Construction of Relevant Measures

Partitions

  • Partitioning Criteria
  • Iterative Relocation Algorithms
  • Mathematical Programming
  • Other Partitioning Algorithms
  • How Many Clusters?
  • Links with Statistical Models

Hierarchical Classifications

  • Definitions and Representations
  • Algorithms
  • Choice of Clustering Strategy
  • Consensus Trees
  • More General Tree Models

Other Clustering Procedures

  • Fuzzy Clustering
  • Constrained Classification
  • Overlapping Classification
  • Conceptual Clustering
  • Classification of Symbolic Data
  • Partitions of Partitions

Graphical Representations

  • Introduction
  • Principal Coordinates Analysis
  • Non-Metric Multidimensional Scaling
  • Interactive Graphics and Self-Organizing Maps
  • Biplots

Cluster Validation and Description

  • Introduction
  • Cluster Validation
  • Cluster Description

References



A CRCnetBASE Product