Noise-aware clustering based on maximum correntropy criterion and adaptive graph regularization

Locality Adaptive Preserving Projections for Linear Dimensionality Reduction

(2020) Aiguo Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Leveraging maximum entropy and correlation on latent factors for learning representations

(2020) Zhicheng He et al.   NEURAL NETWORKS

Robust semi-supervised nonnegative matrix factorization for image clustering

(2020) Siyuan Peng et al.   PATTERN RECOGNITION

Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data

(2020) Na Yu et al.   IEEE Transactions on Cybernetics

Query expansion techniques for information retrieval: A survey

(2019) Hiteshwar Kumar Azad et al.   INFORMATION PROCESSING & MANAGEMENT

A new approach for query expansion using Wikipedia and WordNet

(2019) Hiteshwar Kumar Azad et al.   INFORMATION SCIENCES

Regularized nonnegative matrix factorization with adaptive local structure learning

(2019) Shudong Huang et al.   NEUROCOMPUTING

Adaptive Projected Matrix Factorization method for data clustering

(2018) Mulin Chen et al.   NEUROCOMPUTING

Low-rank kernel learning for graph-based clustering

(2018) Zhao Kang et al.   KNOWLEDGE-BASED SYSTEMS

Sparse dual graph-regularized NMF for image co-clustering

(2018) Jing Sun et al.   NEUROCOMPUTING

Self-paced and soft-weighted nonnegative matrix factorization for data representation

(2018) Shudong Huang et al.   KNOWLEDGE-BASED SYSTEMS

Auto-weighted multi-view clustering via kernelized graph learning

(2018) Shudong Huang et al.   PATTERN RECOGNITION

Correntropy-Induced Robust Low-Rank Hypergraph

(2018) Taisong Jin et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Structure constrained nonnegative matrix factorization for pattern clustering and classification

(2016) Na Lu et al.   NEUROCOMPUTING

Correntropy induced metric based graph regularized non-negative matrix factorization

(2016) Yuanyuan Wang et al.   NEUROCOMPUTING

Information Theoretic Subspace Clustering

(2016) Ran He et al.   IEEE Transactions on Neural Networks and Learning Systems

Robust Manifold Nonnegative Matrix Factorization

(2014) Jin Huang et al.   ACM Transactions on Knowledge Discovery from Data

Transfer Learning with Graph Co-Regularization

(2013) Mingsheng Long 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

Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection

(2009) Chun-Hou Zheng et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE