Department of Mathematics and Statistics
University of Maryland Baltimore County
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.
發表於2025-01-08
Introduction To Clustering Large And High Dimensional Data 2025 pdf epub mobi 電子書 下載
圖書標籤: 機器學習 數據挖掘
Introduction To Clustering Large And High Dimensional Data 2025 pdf epub mobi 電子書 下載