Introduction to Clustering Large and High-Dimensional Data
Jacob Kogan · 2006
1. Introduction and motivation 2. Quadratic k-means algorithm 3. BIRCH 4. Spherical k-means algorithm 5. Linear algebra techniques 6. Information-theoretic clustering 7. Clustering with optimization techniques 8. k-means clustering with divergence 9. Assessment of clustering results 10. Appendix: Optimization and Linear Algebra Background 11. Solutions to selected problems.