Discriminatively Constrained Semi-Supervised Multi-View Nonnegative Matrix Factorization with Graph Regularization

Discriminatively Constrained Semi-Supervised Multi-View Nonnegative Matrix Factorization with Graph Regularization

Nonnegative Matrix Factorization (NMF) is one of the most popular feature learning technologies in the field of machine learning and pattern recognition. It has been widely used and studied in the multi-view clustering tasks because of its effectiveness. This study proposes a general semi-supervised...

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Bibliographic Details
Main Authors: Guosheng Cui, Ye Li, Jianzhong Li, Jianping Fan
Format: Article
Language:English
Published: Tsinghua University Press 2024-03-01
Series:Big Data Mining and Analytics
Subjects:
multi-view
semi-supervised clustering
discriminative information
geometric information
feature normalizing strategy
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2023.9020004

Internet

https://www.sciopen.com/article/10.26599/BDMA.2023.9020004

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