Constrained Symmetric Non-Negative Matrix Factorization Guided by Pairwise Constraint Propagation for Image Clustering

To address the clustering of high-dimensional data, this paper proposes a novel semi-supervised clustering method named Constrained Symmetric Non-negative Matrix Factorization guided by Pairwise Constraint Propagation (PCSNMF). PCSNMF utilizes two types of supervision (pairwise constraints and label...

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Xehetasun bibliografikoak

Egile nagusia:	Weiqian Zhang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2026-01-01
Saila:	IEEE Access
Gaiak:	Symmetric non-negative matrix factorization one hot constrained pairwise constraint propagation image clustering
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/11339500/
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