Introduction to clustering large and high-dimensional data /
作者： Jacob Kogan.
出版社：
简介： Contents：
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.
