Seventh draft of thesis. Contents are (in bold new contents)
- Chapter 1: Introduction
- Chapter 2: Machine learning essentials
- Chapter 3: Clustering and related issues
- Chapter 4: Previous works on clustering
- Chapter 5: Minimum Bregman Information principle for Co-clustering
- Chapter 6: Support Vector Clustering
- Chapter 7: Alternative Support Vector Methods for Clustering
- Chapter 8: Support Vector Clustering software development
- Chapter 9: Experiments (Incomplete, only two experimental stages out of 5)
- Chapter 10: Conclusion and Future Work
- Appendix A: One Class classification via Support Vector Machines
- Appendix B: Time and space consume (to be completed)
- Appendix C: Thesis Web Log
- Bibliography
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