Consensus guided incomplete multi-view spectral clustering

DOI10.1016/j.neunet.2020.10.014zbMath1475.62198OpenAlexW3101337787WikidataQ102331978 ScholiaQ102331978MaRDI QIDQ2055065

Jie Wen, Hui-Jie Sun, Zheng Zhang, Bob Zhang, Jinxing Li, Lunke Fei

Publication date: 3 December 2021

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2020.10.014

zbMATH Keywords

spectral clusteringmanifold learningco-regularizationincomplete multi-view clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (3)

Incomplete multi-view clustering by simultaneously learning robust representations and optimal graph structures ⋮ One-step incomplete multiview clustering with low-rank tensor graph learning ⋮ Consensus graph learning for auto-weighted multi-view projection clustering

Uses Software

• eigs
• UCI-ml
• ARPACK
• Eigtool
• MNIST
• t-SNE

Cites Work

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• Multi-view clustering on data with partial instances and clusters
• Deep learning on image denoising: an overview
• Multi-view clustering via multi-manifold regularized non-negative matrix factorization
• Multi-view clustering on unmapped data via constrained non-negative matrix factorization
• Large-Scale Computation of Pseudospectra Using ARPACK and Eigs
• On the Convergence of Alternating Direction Lagrangian Methods for Nonconvex Structured Optimization Problems

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