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Classification, Second Edition
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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
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