RC1 draft of the thesis. Contents are

• 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 (only overall conclusion missing)
• Chapter 10: Conclusion and Future Work
• Appendix A: One Class classification via Support Vector Machines
• Appendix B: Resources usage of the algorithms
• Appendix C: Star/Galaxy separation via Support Vector Machines
• Appendix D: Thesis Web Log
• Bibliography

Downloads

Changelog download - Thesis download