Diversity embedding deep matrix factorization for multi-view clustering

Zexi Chen; Pengfei Lin; Zhaoliang Chen; YE Dong-yi; Shiping Wang

doi:10.1016/j.ins.2022.07.177

ScienceGate Book Chapters

JOURNAL ARTICLE

Diversity embedding deep matrix factorization for multi-view clustering

Zexi Chen Pengfei Lin Zhaoliang Chen YE Dong-yi Shiping Wang

Year: 2022 Journal: Information Sciences Vol: 610 Pages: 114-125 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2022.07.177

Get Full-Text PDF Get Analytical Report

Keywords:

Cluster analysis Computer science Matrix decomposition Artificial intelligence Data mining Non-negative matrix factorization Embedding Pattern recognition (psychology) Discriminative model Machine learning Eigenvalues and eigenvectors

Metrics

Cited By

6.07

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Computing and Algorithms

Social Sciences → Social Sciences → Urban Studies

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Diversity embedding deep matrix factorization for multi-view clustering

Metrics

Citation History

Topics

Related Documents

Multi-View Clustering via Deep Matrix Factorization

Orthogonal Diversity Nonnegative Matrix Factorization for multi-view clustering

Local Geometrical Deep Matrix Factorization for Multi-View Clustering

Neighbouring Constraint Deep Matrix Factorization for Sequential Multi-view Clustering

Deep matrix factorization with adaptive weights for multi-view clustering