Similarity Learning-Induced Symmetric Nonnegative Matrix Factorization for Image Clustering

As a typical variation of nonnegative matrix factorization (NMF), symmetric NMF (SNMF) is capable of exploiting information of the cluster embedded in the matrix of similarity. The traditional SNMF-based methods for clustering first performs the techniques of the similarity learning on input data to...

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Bibliografski detalji

Glavni autori:	Wei Yan, Bob Zhang, Zuyuan Yang, Shengli Xie
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2019-01-01
Serija:	IEEE Access
Teme:	Symmetric nonnegative matrix factorization (SNMF) nonnegative matrix factorization (NMF) clustering unsupervised learning
Online pristup:	https://ieeexplore.ieee.org/document/8890852/
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