Low-rank Tensor Approximation with Local Structure for Multi-view Intrinsic Subspace Clustering

Error-robust low-rank tensor approximation for multi-view clustering

(2021) Shuqin Wang et al.   KNOWLEDGE-BASED SYSTEMS

Multi-view subspace clustering via partition fusion

(2021) Juncheng Lv et al.   INFORMATION SCIENCES

Fine-grained similarity fusion for Multi-view Spectral Clustering

(2021) Xiao Yu et al.   INFORMATION SCIENCES

Tensorized Multi-view Subspace Representation Learning

(2020) Changqing Zhang et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Graph-regularized least squares regression for multi-view subspace clustering

(2020) Yongyong Chen et al.   KNOWLEDGE-BASED SYSTEMS

Learning a consensus affinity matrix for multi-view clustering via subspaces merging on Grassmann manifold

(2020) Wentao Rong et al.   INFORMATION SCIENCES

An overview of recent multi-view clustering

(2020) Lele Fu et al.   NEUROCOMPUTING

Learning robust affinity graph representation for multi-view clustering

(2020) Peiguang Jing et al.   INFORMATION SCIENCES

Robust energy preserving embedding for multi-view subspace clustering

(2020) Haoran Li et al.   KNOWLEDGE-BASED SYSTEMS

Multiple kernel low-rank representation-based robust multi-view subspace clustering

(2020) Xiaoqian Zhang et al.   INFORMATION SCIENCES

One-step Kernel Multi-view Subspace Clustering

(2019) Guang-Yu Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Essential Tensor Learning for Multi-View Spectral Clustering

(2019) Jianlong Wu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Auto-weighted multi-view co-clustering with bipartite graphs

(2019) Shudong Huang et al.   INFORMATION SCIENCES

Jointly Learning Kernel Representation Tensor and Affinity Matrix for Multi-View Clustering

(2019) Yongyong Chen et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning

(2019) Rong Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization

(2018) Yuan Xie et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning

(2018) Yuan Xie et al.   IEEE Transactions on Cybernetics

Multiview Consensus Graph Clustering

(2018) Kun Zhan et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Generalized Latent Multi-View Subspace Clustering

(2018) Changqing Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Laplacian Regularized Low-Rank Representation and Its Applications

(2016) Ming Yin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Sparse Subspace Clustering: Algorithm, Theory, and Applications

(2013) E. Elhamifar et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Robust Recovery of Subspace Structures by Low-Rank Representation

(2012) Guangcan Liu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE