- Home
- Publications
- Publication Search
- Publication Details
Title
Multi-view clustering via deep concept factorization
Authors
Keywords
Multi-view clustering, Deep clustering, Concept factorization, Kernel method
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 217, Issue -, Pages 106807
Publisher
Elsevier BV
Online
2021-02-05
DOI
10.1016/j.knosys.2021.106807
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Multi-view clustering by non-negative matrix factorization with co-orthogonal constraints
- (2020) Naiyao Liang et al. KNOWLEDGE-BASED SYSTEMS
- Bayesian deep matrix factorization network for multiple images denoising
- (2020) Shuang Xu et al. NEURAL NETWORKS
- A review of machine learning kernel methods in statistical process monitoring
- (2020) Anastasios Apsemidis et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Incomplete multi-view gene clustering with data regeneration using Shape Boltzmann Machine
- (2020) Pratik Dutta et al. COMPUTERS IN BIOLOGY AND MEDICINE
- MLDH-Fold: Protein fold recognition based on multi-view low-rank modeling
- (2020) Ke Yan et al. NEUROCOMPUTING
- Semi-supervised multi-view clustering based on constrained nonnegative matrix factorization
- (2019) Hao Cai et al. KNOWLEDGE-BASED SYSTEMS
- Multi-view cluster analysis with incomplete data to understand treatment effects
- (2019) Guoqing Chao et al. INFORMATION SCIENCES
- Deep graph regularized non-negative matrix factorization for multi-view clustering
- (2019) Jianqiang Li et al. NEUROCOMPUTING
- Auto-weighted multi-view clustering via deep matrix decomposition
- (2019) Shudong Huang et al. PATTERN RECOGNITION
- GMC: Graph-Based Multi-View Clustering
- (2019) Hao Wang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning
- (2019) Rong Wang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Semi-Supervised Graph Regularized Deep NMF With Bi-Orthogonal Constraints for Data Representation
- (2019) Yang Meng et al. IEEE Transactions on Neural Networks and Learning Systems
- A deep discriminative and robust nonnegative matrix factorization network method with soft label constraint
- (2018) Ming Tong et al. NEURAL COMPUTING & APPLICATIONS
- Incomplete multi-view clustering via deep semantic mapping
- (2018) Liang Zhao et al. NEUROCOMPUTING
- Concept Factorization With Adaptive Neighbors for Document Clustering
- (2018) Xiaobing Pei et al. IEEE Transactions on Neural Networks and Learning Systems
- Correntropy based graph regularized concept factorization for clustering
- (2018) Siyuan Peng et al. NEUROCOMPUTING
- Sparse dual graph-regularized NMF for image co-clustering
- (2018) Jing Sun et al. NEUROCOMPUTING
- A study of graph-based system for multi-view clustering
- (2018) Hao Wang et al. KNOWLEDGE-BASED SYSTEMS
- Semi-supervised person re-identification using multi-view clustering
- (2018) Xiaomeng Xin et al. PATTERN RECOGNITION
- Auto-weighted multi-view clustering via kernelized graph learning
- (2018) Shudong Huang et al. PATTERN RECOGNITION
- Weakly Supervised Deep Matrix Factorization for Social Image Understanding
- (2017) Zechao Li et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- A Deep Matrix Factorization Method for Learning Attribute Representations
- (2017) George Trigeorgis et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Multi-view learning overview: Recent progress and new challenges
- (2017) Jing Zhao et al. Information Fusion
- A novel regularized concept factorization for document clustering
- (2017) Wei Yan et al. KNOWLEDGE-BASED SYSTEMS
- Graph-based discriminative concept factorization for data representation
- (2017) Huirong Li et al. KNOWLEDGE-BASED SYSTEMS
- Multi-view clustering via multi-manifold regularized non-negative matrix factorization
- (2017) Linlin Zong et al. NEURAL NETWORKS
- Funnel-structured cascade for multi-view face detection with alignment-awareness
- (2017) Shuzhe Wu et al. NEUROCOMPUTING
- Graph regularized multilayer concept factorization for data representation
- (2017) Xue Li et al. NEUROCOMPUTING
- Semi-supervised concept factorization for document clustering
- (2016) Mei Lu et al. INFORMATION SCIENCES
- Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels
- (2015) Sadeep Jayasumana et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Local regularization concept factorization and its semi-supervised extension for image representation
- (2015) Zhenqiu Shu et al. NEUROCOMPUTING
- Clustering analysis using manifold kernel concept factorization
- (2012) Ping Li et al. NEUROCOMPUTING
- Locally Consistent Concept Factorization for Document Clustering
- (2010) Deng Cai et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Graph Regularized Nonnegative Matrix Factorization for Data Representation
- (2010) Deng Cai et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started