TY  - GEN
AU  - Farcomeni, Alessio
AU  - Greco, Luca,
TI  - Robust methods for data reduction
T2  - Data Mining
SN  - 9780367827779 :
U1  - R.R. 629.8 23rd
PY  - 2020///
CY  - Boca Raton, Fla.
PB  - CRC Press
KW  - Data reduction
KW  - Computer programs
KW  - Dimension reduction (statistics)
KW  - Robust control
N1  - 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 analysis; Includes bibliographical references and indexes
ER  -