Kernel truncated regression representation for robust subspace clustering

DOI10.1016/j.ins.2020.03.033zbMath1458.62093arXiv1705.05108OpenAlexW3011852491MaRDI QIDQ2663551

Xin Yao, Dezhong Peng, Liangli Zhen, Wei Wang

Publication date: 19 April 2021

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

Full work available at URL: https://arxiv.org/abs/1705.05108

zbMATH Keywords

spectral clusteringkernel techniqueskernel truncated regressionnonlinear subspace clustering

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (4)

Multi-objective soft subspace clustering in the composite kernel space ⋮ Nonnegative matrix factorization with local similarity learning ⋮ Robust local-coordinate non-negative matrix factorization with adaptive graph for robust clustering ⋮ Target redirected regression with dynamic neighborhood structure

Uses Software

• COIL-100
• COIL-20

Cites Work

• Unnamed Item
• Robust subspace clustering
• Minimum Error Entropy Based Sparse Representation for Robust Subspace Clustering
• Robust Subspace Clustering With Complex Noise
• Learning with $\ell ^{1}$-graph for image analysis

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