Fusing Local and Global Information for One-Step Multi-View Subspace Clustering

Fusing Local and Global Information for One-Step Multi-View Subspace Clustering

Multi-view subspace clustering has drawn significant attention in the pattern recognition and machine learning research community. However, most of the existing multi-view subspace clustering methods are still limited in two aspects. (1) The subspace representation yielded by the self-expression rec...

Full description

Bibliographic Details
Main Authors:	Yiqiang Duan, Haoliang Yuan, Chun Sing Lai, Loi Lei Lai
Format:	Article
Language:	English
Published:	MDPI AG 2022-05-01
Series:	Applied Sciences
Subjects:	multi-view learning subspace representation graph learning one-step clustering
Online Access:	https://www.mdpi.com/2076-3417/12/10/5094

Similar Items

Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering
by: Pei Zhang, et al.
Published: (2020-10-01)

Multi-View Subspace Clustering With Block Diagonal Representation
by: Jipeng Guo, et al.
Published: (2019-01-01)

Multi-view Subspace Clustering Analysis for Aggregating Multiple Heterogeneous Omics Data
by: Qianqian Shi, et al.
Published: (2019-08-01)

Weighted Low-Rank Tensor Representation for Multi-View Subspace Clustering
by: Shuqin Wang, et al.
Published: (2021-01-01)

Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image
by: Zijia Zhang, et al.
Published: (2022-01-01)

Integrative subspace clustering by common and specific decomposition for applications on cancer subtype identification
by: Yin Guo, et al.
Published: (2019-12-01)

Sparse and Low-Rank Subspace Data Clustering with Manifold Regularization Learned by Local Linear Embedding
by: Ye Yang, et al.
Published: (2018-11-01)

Robust Multi-View Subspace Clustering Via Weighted Multi-Kernel Learning and Co-Regularization
by: Yilu Zheng, et al.
Published: (2020-01-01)

Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering
by: Guo-Sen Xie, et al.
Published: (2017-01-01)

A Multi-View Co-Training Clustering Algorithm Based on Global and Local Structure Preserving
by: Weiling Cai, et al.
Published: (2021-01-01)

A Method with Adaptive Graphs to Constrain Multi-View Subspace Clustering of Geospatial Big Data from Multiple Sources
by: Qiliang Liu, et al.
Published: (2022-09-01)

Nonlinear Subspace Clustering via Adaptive Graph Regularized Autoencoder
by: Qiang Ji, et al.
Published: (2019-01-01)

Hyper-Laplacian Regularized Multi-View Subspace Clustering With a New Weighted Tensor Nuclear Norm
by: Qingjiang Xiao, et al.
Published: (2021-01-01)

Fusion and Enhancement of Consensus Matrix for Multi-View Subspace Clustering
by: Xiuqin Deng, et al.
Published: (2023-03-01)

Dynamic Ensemble Learning With Multi-View Kernel Collaborative Subspace Clustering for Hyperspectral Image Classification
by: Hongliang Lu, et al.
Published: (2022-01-01)

Deep Multi-View Clustering Based on Reconstructed Self-Expressive Matrix
by: Zonghan Shi, et al.
Published: (2023-07-01)

Sparse Subspace Learning Based on Learnable Constraints for Image Clustering
by: Siyuan Zhao
Published: (2023-01-01)

Enhancing Feature Deep Learning to Improve Multi-view Latent Space Fusion Representation
by: Tingyi ZHENG, et al.
Published: (2022-07-01)

Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis
by: Kasra Rafiezadeh Shahi, et al.
Published: (2020-07-01)

Diffusion Subspace Clustering for Hyperspectral Images
by: Jiaxin Chen, et al.
Published: (2023-01-01)

Convolutional Subspace Clustering Network With Block Diagonal Prior
by: Junjian Zhang, et al.
Published: (2020-01-01)

Multi-View Graph Clustering by Adaptive Manifold Learning
by: Peng Zhao, et al.
Published: (2022-05-01)

Deep Subspace Clustering with Block Diagonal Constraint
by: Jing Liu, et al.
Published: (2020-12-01)

Deep Spatial-Spectral Subspace Clustering for Hyperspectral Images Based on Contrastive Learning
by: Xiang Hu, et al.
Published: (2021-11-01)

A Survey on High-Dimensional Subspace Clustering
by: Wentao Qu, et al.
Published: (2023-01-01)

Hypergraph-Supervised Deep Subspace Clustering
by: Yu Hu, et al.
Published: (2021-12-01)

CUR Decompositions, Similarity Matrices, and Subspace Clustering
by: Akram Aldroubi, et al.
Published: (2019-01-01)

Multi-Scale Deep Subspace Clustering With Discriminative Learning
by: Jiao Wang, et al.
Published: (2022-01-01)

Sparse Subspace Clustering for Stream Data
by: Ken Chen, et al.
Published: (2021-01-01)

Hyper-Graph Regularized Kernel Subspace Clustering for Band Selection of Hyperspectral Image
by: Meng Zeng, et al.
Published: (2020-01-01)

Graph-Constrained Residual Self-Expressive Subspace Clustering Network for Hyperspectral Images
by: Kun Huang, et al.
Published: (2024-01-01)

Multi-View Robust Tensor-Based Subspace Clustering
by: Esraa M. Al-Sharoa, et al.
Published: (2022-01-01)

A Fast and Accurate Similarity-Constrained Subspace Clustering Algorithm for Hyperspectral Image
by: Carlos Hinojosa, et al.
Published: (2021-01-01)

Regularizing Subspace Representation for Fusing Hyperspectral and Multispectral Images
by: Yanhong Yang, et al.
Published: (2021-01-01)

Kernel Block Diagonal Representation Subspace Clustering with Similarity Preservation
by: Yifang Yang, et al.
Published: (2023-08-01)

Unified Low-Rank Subspace Clustering with Dynamic Hypergraph for Hyperspectral Image
by: Jinhuan Xu, et al.
Published: (2021-04-01)

Ordered Subspace Clustering for Complex Non-Rigid Motion by 3D Reconstruction
by: Weinan Du, et al.
Published: (2019-04-01)

Generalized gene co-expression analysis via subspace clustering using low-rank representation
by: Tongxin Wang, et al.
Published: (2019-05-01)

Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data
by: Burkhard Hoppenstedt, et al.
Published: (2019-09-01)

Inferring Urban Land Use from Multi-Source Urban Mobility Data Using Latent Multi-View Subspace Clustering
by: Qiliang Liu, et al.
Published: (2021-04-01)