Robust methods for data reduction
Auteur :
Farcomeni, Alessio / Greco, Luca
Éditeur :
Taylor & Francis Ltd
ISBN :
9780367783518
Date de publication :
31 mars 2021
Dimensions :
23,4 x 15,6 cm
Poids :
453 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
This book 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 d