Scalable multi-view clustering with graph filtering

Liang Liu; Peng Chen; Guangchun Luo; Zhao Kang; Yonggang Luo; Sanchu Han

doi:10.1007/s00521-022-07326-x

ScienceGate Book Chapters

JOURNAL ARTICLE

Scalable multi-view clustering with graph filtering

Liang Liu Peng Chen Guangchun Luo Zhao Kang Yonggang Luo Sanchu Han

Year: 2022 Journal: Neural Computing and Applications Vol: 34 (19)Pages: 16213-16221 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-022-07326-x

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Scalability Cluster analysis Graph Data mining Theoretical computer science Feature (linguistics) Representation (politics) Clustering coefficient Artificial intelligence Machine learning Database

Metrics

Cited By

6.46

FWCI (Field Weighted Citation Impact)

Refs

0.95

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Caching and Content Delivery

Physical Sciences → Computer Science → Computer Networks and Communications

Scalable multi-view clustering with graph filtering

Metrics

Citation History

Topics

Related Documents

Scalable Multi-View Clustering via Bipartite Graph Consensus Filtering

Fast and Scalable Incomplete Multi-View Clustering with Duality Optimal Graph Filtering

Scalable unpaired multi-view clustering with Bipartite Graph Matching

Enhanced Multi-View Clustering with Multiple Linear Graph Filtering

Scalable Multi-View Graph Clustering With Cross-View Corresponding Anchor Alignment