Adversarial Graph Regularized Deep Nonnegative Matrix Factorization for Data Representation

This work proposes a novel unsupervised deep non-negative matrix factorization (NMF) model called AGDNMF by deep exploration of the structure of the original data. Compared with the existing NMF research results, the model explores the deep association of data and constructs accurate spatial structu...

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Bibliographic Details
Main Authors: Songtao Li, Weigang Li, Yang Li
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9857890/
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