Data clustering : theory, algorithms, and applications /
| Main Author: | |
|---|---|
| Other Authors: | , |
| Format: | Book |
| Language: | English |
| Published: |
Philadelphia, PA : Alexandria, VA :
Society for Industrial and Applied Mathematics ; American Statistical Association,
c2007.
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| Series: | ASA-SIAM series on statistics and applied probability ;
20 |
| Subjects: |
Table of Contents:
- 1. Data clustering
- 2. Data types
- 3. Scale conversion
- 4. Data standardization and transformation
- 5. Data visualization
- 6. Similarity and dissimilarity measures
- 7. Hierarchical clustering techniques
- 8. Fuzzy clustering algorithms
- 9. Center-based clustering algorithms
- 10. Search-based clustering algorithms
- 11. Graph-based clustering algorithms
- 12. Grid-based clustering algorithms
- 13. Density-based clustering algorithms
- 14. Model-based clustering algorithms
- 15. Subspace clustering
- 16. Miscellaneous algorithms
- 17. Evaluation of clustering algorithms
- 18. Clustering gene expression data
- 19. Data clustering in MATLAB
- 20. Clustering in C/C++
- Appendix A. Some clustering algorithms
- Appendix B. The kd-tree data structure
- Appendix C. MATLAB codes
- Appendix D. C++ codes.