Multi-view spectral clustering for uncertain objects

DOI10.1016/J.INS.2020.08.080zbMath1479.62042OpenAlexW3081926674MaRDI QIDQ2056333

Krishna Kumar Sharma, Ayan Seal

Publication date: 2 December 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.08.080

zbMATH Keywords

uncertaintysimilarity measurespectral clusteringco-regularizationmulti-view clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Inference from stochastic processes and spectral analysis (62M15) Learning and adaptive systems in artificial intelligence (68T05)

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Cites Work

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• Fast semi-supervised clustering with enhanced spectral embedding
• Possible world based consistency learning model for clustering and classifying uncertain data
• K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality
• Convex Sparse Spectral Clustering: Single-View to Multi-View
• Minimizing the variance of cluster mixture models for clustering uncertain objects

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