Multi-view clustering via deep concept factorization

Shuai Chang; Jie Hu; Tianrui Li; Hao Wang; Bo Peng

doi:10.1016/j.knosys.2021.106807

ScienceGate Book Chapters

JOURNAL ARTICLE

Multi-view clustering via deep concept factorization

Shuai Chang Jie Hu Tianrui Li Hao Wang Bo Peng

Year: 2021 Journal: Knowledge-Based Systems Vol: 217 Pages: 106807-106807 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2021.106807

Get Full-Text PDF Get Analytical Report

Keywords:

Cluster analysis Computer science Matrix decomposition Artificial intelligence Regularization (linguistics) Clustering high-dimensional data Kernel (algebra) Factorization Data mining Pattern recognition (psychology) Algorithm Machine learning Mathematics Eigenvalues and eigenvectors

Metrics

Cited By

6.44

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-view clustering via deep concept factorization

Metrics

Citation History

Topics

Related Documents

Multi-View Clustering via Deep Matrix Factorization

Weighted Concept Factorization Based Incomplete Multi-view Clustering

Multi-view clustering via multiple kernel concept factorization

Robust multi-view clustering via structure regularization concept factorization

Dual-graph regularized concept factorization for multi-view clustering