Classification (Hardcover, 2)

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
Author Index
Subject Index