RMFRASL: Robust Matrix Factorization with Robust Adaptive Structure Learning for Feature Selection
In this paper, we present a novel unsupervised feature selection method termed robust matrix factorization with robust adaptive structure learning (RMFRASL), which can select discriminative features from a large amount of multimedia data to improve the performance of classification and clustering ta...
Main Authors: | Shumin Lai, Longjun Huang, Ping Li, Zhenzhen Luo, Jianzhong Wang, Yugen Yi |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
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Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/16/1/14 |
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