Mathematical theories of machine learning - theory and applications
Auteur :
Shi, Bin / Iyengar, S. S.
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030170783
Date de publication :
14 août 2020
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
In the third part, the authors study the problem of subspace clustering with noisy and missing data, which is a problem well-motivated by practical applications data subject to stochastic Gaussian noise and/or incomplete data with uniformly missing entries.