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Introduction to Clustering Large and High-Dimensional Data

Jacob Kogan
Publisher: 
Cambridge University Press
Publication Date: 
2006
Number of Pages: 
205
Format: 
Paperback
Price: 
29.99
ISBN: 
9780521617932
Category: 
Monograph
We do not plan to review this book.

 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.

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