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Deep non-negative matrix factorization with multi-layer graph regularization for clustering
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DOI：10.1016/j.patcog.2026.113325.png)
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摘要
En 中文
• 首次引入了多层图正则化。
• 提出了一种基于图正则化的深度NMF方法。
• 开发了一种半监督的基于图正则化的深度NMF方法。
• 大量实验表明所提出的方法具有优越性。
Keyword:
deep non-negative matrix factorization
multi-layer graph regularization
clustering
semi-supervised learning
dimensionality reduction
期刊
IF:
7.6
论文数:
1.3W
被引数:
4.5W
机构
引用论文
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