Low-Rank Regularized Heterogeneous Tensor Decomposition Algorithm for Subspace Clustering

Jing Zhang; 付建鹏 Fu Jianpeng; 李新慧 Li Xinhui

doi:10.3788/lop55.071003

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Low-Rank Regularized Heterogeneous Tensor Decomposition Algorithm for Subspace Clustering

Jing Zhang 付建鹏 Fu Jianpeng 李新慧 Li Xinhui

Year: 2018 Journal: Laser & Optoelectronics Progress Vol: 55 (7)Pages: 071003-071003

DOI: 10.3788/lop55.071003

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Keywords:

Rank (graph theory) Subspace topology Tensor (intrinsic definition) Cluster analysis Mathematics Decomposition Tensor decomposition Algorithm Symmetric tensor Computer science Combinatorics Statistics Pure mathematics Exact solutions in general relativity Mathematical analysis Chemistry

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Tensor decomposition and applications

Physical Sciences → Mathematics → Computational Mathematics

Low-Rank Regularized Heterogeneous Tensor Decomposition Algorithm for Subspace Clustering

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