Diversity embedding deep matrix factorization for multi-view clustering

Nonredundancy regularization based nonnegative matrix factorization with manifold learning for multiview data representation

(2022) Guosheng Cui et al.   Information Fusion

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

(2022) Lele Fu et al.   INFORMATION SCIENCES

Simultaneous multi-graph learning and clustering for multiview data

(2022) Xuanlong Ma et al.   INFORMATION SCIENCES

Deep Embedded Multi-view Clustering with Collaborative Training

(2021) Jie Xu et al.   INFORMATION SCIENCES

Multi-view clustering via deep concept factorization

(2021) Shuai Chang et al.   KNOWLEDGE-BASED SYSTEMS

A network-based sparse and multi-manifold regularized multiple non-negative matrix factorization for multi-view clustering

(2021) Lihua Zhou et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multi-view subspace clustering via partition fusion

(2021) Juncheng Lv et al.   INFORMATION SCIENCES

Accelerated manifold embedding for multi-view semi-supervised classification

(2021) Shiping Wang et al.   INFORMATION SCIENCES

A survey on modern trainable activation functions

(2021) Andrea Apicella et al.   NEURAL NETWORKS

Robust deep k-means: An effective and simple method for data clustering

(2021) Shudong Huang et al.   PATTERN RECOGNITION

A Riemannian rank-adaptive method for low-rank matrix completion

(2021) Bin Gao et al.   COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Multi-view fuzzy clustering of deep random walk and sparse low-rank embedding

(2021) Shiping Wang et al.   INFORMATION SCIENCES

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

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

Autoencoder Constrained Clustering With Adaptive Neighbors

(2020) Xuelong Li et al.   IEEE Transactions on Neural Networks and Learning Systems

Robust semi-supervised nonnegative matrix factorization for image clustering

(2020) Siyuan Peng et al.   PATTERN RECOGNITION

Kernel meets recommender systems: A multi-kernel interpolation for matrix completion

(2020) Zhaoliang Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multi-view Incremental Discriminant Analysis

(2020) Saroj S. Shivagunde et al.   Information Fusion

Deep random walk of unitary invariance for large-scale data representation

(2020) Shiping Wang et al.   INFORMATION SCIENCES

Coupling loss and self-used privileged information guided multi-view transfer learning

(2020) Jingjing Tang et al.   INFORMATION SCIENCES

Multi-view common component discriminant analysis for cross-view classification

(2019) Xinge You et al.   PATTERN RECOGNITION

Multi-graph fusion for multi-view spectral clustering

(2019) Zhao Kang et al.   KNOWLEDGE-BASED SYSTEMS

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

Contextual Correlation Preserving Multiview Featured Graph Clustering

(2019) Tiantian He et al.   IEEE Transactions on Cybernetics

Multi-view Subspace Clustering with Intactness-Aware Similarity

(2018) Xiaobo Wang et al.   PATTERN RECOGNITION

Multiview Consensus Graph Clustering

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

Auto-weighted multi-view clustering via kernelized graph learning

(2018) Shudong Huang et al.   PATTERN RECOGNITION

Multi-view clustering via multi-manifold regularized non-negative matrix factorization

(2017) Linlin Zong et al.   NEURAL NETWORKS

Diverse Non-Negative Matrix Factorization for Multiview Data Representation

(2017) Jing Wang et al.   IEEE Transactions on Cybernetics

Convex and Semi-Nonnegative Matrix Factorizations

(2008) C.H.Q. Ding et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE