Multi-view \(K\)-means clustering algorithm based on redundant and sparse feature learning

DOI10.1016/j.physa.2023.129405OpenAlexW4389060566MaRDI QIDQ6140194

Yingcang Ma, Guoping Kong, Zhiwei Xing, Xiao Long Xin

Publication date: 19 January 2024

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2023.129405

zbMATH Keywords

redundancydimensionality reduction\(K\)-meansmulti-view clusteringfeature representation

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Cites Work

• Coordinate descent algorithms
• Re-Weighted Discriminatively Embedded $K$ -Means for Multi-View Clustering

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