Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization

Jie Wen; Zheng Zhang; Yong Xu; Zuofeng Zhong

doi:10.1007/978-3-030-11018-5_47

ScienceGate Book Chapters

BOOK-CHAPTER

Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization

Jie Wen Zheng Zhang Yong Xu Zuofeng Zhong

Year: 2019 Lecture notes in computer science Pages: 593-608 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-11018-5_47

Get Full-Text PDF Get Analytical Report

Keywords:

Cluster analysis Computer science Constrained clustering Embedding Regularization (linguistics) Artificial intelligence Matrix decomposition Graph Representation (politics) Correlation clustering Pattern recognition (psychology) Algorithm Theoretical computer science Data mining CURE data clustering algorithm Eigenvalues and eigenvectors

Metrics

Cited By

10.20

FWCI (Field Weighted Citation Impact)

Refs

0.99

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

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Computing and Algorithms

Social Sciences → Social Sciences → Urban Studies

Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization

Metrics

Citation History

Topics

Related Documents

Incomplete multi-view clustering with incomplete graph-regularized orthogonal non-negative matrix factorization

Graph Regularized and Feature Aware Matrix Factorization for Robust Incomplete Multi-View Clustering

Multi-view clustering via graph regularized symmetric nonnegative matrix factorization

Robust Dual-Graph Regularized Deep Matrix Factorization for Multi-view Clustering

Deep graph regularized non-negative matrix factorization for multi-view clustering