TY  - BOOK
AU  - Farcomeni,Alessio
AU  - Greco,Luca
TI  - Robust methods for data reduction
SN  - 9781466590625
U1  - 000SA.13 23
PY  - 2015///
CY  - Boca Raton
PB  - CRC Press
KW  - Robust control
KW  - Data reduction
KW  - Computer programs
KW  - Dimension reduction (Statistics)
N1  - Includes bibliographical references and index; Section 1. Dimension reduction -- 
1. Introduction and overview --
2. Multivariate estimation methods --
3. Principal component analysis --
4. Sparse Robust PCA --
5. Canonical correlation analysis --
6. Factor analysis --
Section 2. Sample reduction --
7. k-means and model-based clustering --
8. Robust clustering --
9. Robust model-based clustering --
10. Double clustering --
11. Discriminant analysis
N2  - Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component analysis, canonical correlation analysis, factor analysis, clustering, double clustering, and discriminant analysis.The first part of the book illustrates how dimension reduction techniques synthesize available information by reducing the dimensionality of the data. The second part focuses on cluster and discriminant analy
ER  -