Unsupervised classification : similarity measures, classical and metaheuristic approaches, and applications
Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature.This is the f...
| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
New York :
Springer ,
c2013
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| Subjects: |
Table of Contents:
- 1. Introduction
- 2. Some single- and multiobjective optimization techniques
- 3. Similarity measures
- 4. Clustering algorithms
- 5. Point symmetry-based distance measures and their applications to clustering
- 6. A validity index based on symmetry: application to satellite image segmentation
- 7. Symmetry-based automatic clustering
- 8. Some line symmetry distance-based clustering techniques
- 9. Use of multiobjective optimization for data clustering