Matrix Methods in Data Mining and Pattern Recognition / Edition 1

Matrix Methods in Data Mining and Pattern Recognition / Edition 1

by Lars Eldén
     
 

Shows how modern matrix methods can be applied in data mining and pattern recognition.See more details below

Overview

Shows how modern matrix methods can be applied in data mining and pattern recognition.

Product Details

ISBN-13:
9780898716269
Publisher:
SIAM
Publication date:
04/09/2007
Series:
Fundamentals of Algorithms Ser., #4
Edition description:
New Edition
Pages:
224
Sales rank:
1,241,965
Product dimensions:
6.85(w) x 9.72(h) x 0.63(d)

Table of Contents

Preface; Part I. Linear Algebra Concepts and Matrix Decompositions: 1. Vectors and matrices in data mining and pattern recognition; 2. Vectors and matrices; 3. Linear systems and least squares; 4. Orthogonality; 5. QR decomposition; 6. Singular value decomposition; 7. Reduced rank least squares models; 8. Tensor decomposition; 9. Clustering and non-negative matrix factorization; Part II. Data Mining Applications: 10. Classification of handwritten digits; 11. Text mining; 12. Page ranking for a Web search engine; 13. Automatic key word and key sentence extraction; 14. Face recognition using rensor SVD; Part III. Computing the Matrix Decompositions: 15. Computing Eigenvalues and singular values; Bibliography; Index.

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >