Nonnegative Matrix Factorization with Joint Regularization of Manifold Learning and Pairwise Constraints

Nonnegative Matrix Factorization with Joint Regularization of Manifold Learning and Pairwise Constraints

In order to handle semi-supervised clustering scenarios where only part of the pairwise constraint information is available in the target dataset, on the basis of nonnegative matrix factorization (NMF) architecture, this paper proposes a nonnegative matrix factorization-based clustering algorithm us...

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Bibliographic Details
Main Author: CAO Jiawei, QIAN Pengjiang
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-07-01
Series:Jisuanji kexue yu tansuo
Subjects:
clustering
nonnegative matrix factorization (nmf)
manifold regularization
pairwise constraints
semi-supervised learning
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2270.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2270.shtml

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