Adaptive Graph Regularization Discriminant Nonnegative Matrix Factorization for Data Representation

Nonnegative matrix factorization, as a classical part-based representation method, has been widely used in pattern recognition, data mining and other fields. However, the traditional nonnegative matrix factorization directly factoring decomposes the original data, and the original data often contain...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Lin Zhang, Zhonghua Liu, Lin Wang, Jiexin Pu
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2019-01-01
Serie:	IEEE Access
Ämnen:	Nonnegative matrix factorization graph regularization discriminative information image clustering data representation
Länkar:	https://ieeexplore.ieee.org/document/8792145/
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!