A review of unsupervised feature selection methods

Robust graph regularized unsupervised feature selection

(2018) Chang Tang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Robust unsupervised feature selection via dual self-representation and manifold regularization

(2018) Chang Tang et al.   KNOWLEDGE-BASED SYSTEMS

Structure preserving unsupervised feature selection

(2018) Quanmao Lu et al.   NEUROCOMPUTING

Feature selection in machine learning: A new perspective

(2018) Jie Cai et al.   NEUROCOMPUTING

Feature Selection With ℓ2,1-2 Regularization

(2018) Yong Shi et al.   IEEE Transactions on Neural Networks and Learning Systems

Adaptive Unsupervised Feature Selection With Structure Regularization

(2018) Minnan Luo et al.   IEEE Transactions on Neural Networks and Learning Systems

Feature selection in multimedia: The state-of-the-art review

(2017) Pui Yi Lee et al.   IMAGE AND VISION COMPUTING

Non-convex regularized self-representation for unsupervised feature selection

(2017) Pengfei Zhu et al.   IMAGE AND VISION COMPUTING

Unsupervised feature selection via low-rank approximation and structure learning

(2017) Shiping Wang et al.   KNOWLEDGE-BASED SYSTEMS

Robust unsupervised feature selection via matrix factorization

(2017) Shiqiang Du et al.   NEUROCOMPUTING

A Survey on semi-supervised feature selection methods

(2017) Razieh Sheikhpour et al.   PATTERN RECOGNITION

A new Unsupervised Spectral Feature Selection Method for mixed data: A filter approach

(2017) Saúl Solorio-Fernández et al.   PATTERN RECOGNITION

Structure Preserving Non-negative Feature Self-Representation for Unsupervised Feature Selection

(2017) Wei Zhou et al.   IEEE Access

Unsupervised probabilistic feature selection using ant colony optimization

(2016) Behrouz Zamani Dadaneh et al.   EXPERT SYSTEMS WITH APPLICATIONS

A survey of anomaly detection techniques in financial domain

(2016) Mohiuddin Ahmed et al.   Future Generation Computer Systems-The International Journal of eScience

Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection

(2016) Jun Chin Ang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Unsupervised spectral feature selection with l1-norm graph

(2016) Xiaodong Wang et al.   NEUROCOMPUTING

A new hybrid filter–wrapper feature selection method for clustering based on ranking

(2016) Saúl Solorio-Fernández et al.   NEUROCOMPUTING

Unsupervised Feature Selection via Nonnegative Spectral Analysis and Redundancy Control

(2015) Zechao Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Selecting feature subset with sparsity and low redundancy for unsupervised learning

(2015) Jiuqi Han et al.   KNOWLEDGE-BASED SYSTEMS

Unsupervised feature selection via maximum projection and minimum redundancy

(2015) Shiping Wang et al.   KNOWLEDGE-BASED SYSTEMS

Gene selection for microarray data classification using a novel ant colony optimization

(2015) Sina Tabakhi et al.   NEUROCOMPUTING

Relevance–redundancy feature selection based on ant colony optimization

(2015) Sina Tabakhi et al.   PATTERN RECOGNITION

Unsupervised feature selection by regularized self-representation

(2015) Pengfei Zhu et al.   PATTERN RECOGNITION

Feature selection for unsupervised learning through local learning

(2015) Jin Yao et al.   PATTERN RECOGNITION LETTERS

Intelligent Image Retrieval Techniques: A Survey

(2015) Mussarat Yasmin et al.   Journal of Applied Research and Technology

An unsupervised feature selection algorithm based on ant colony optimization

(2014) Sina Tabakhi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

An Unsupervised Feature Selection Framework for Social Media Data

(2014) Jiliang Tang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Feature selection with SVD entropy: Some modification and extension

(2014) Monami Banerjee et al.   INFORMATION SCIENCES

A hybrid feature selection scheme for mixed attributes data

(2013) Haitao Liu et al.   COMPUTATIONAL & APPLIED MATHEMATICS

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection

(2013) Zechao Li et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A review of feature selection methods based on mutual information

(2013) Jorge R. Vergara et al.   NEURAL COMPUTING & APPLICATIONS

Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection

(2013) Chenping Hou et al.   IEEE Transactions on Cybernetics

A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis

(2012) C. Lazar et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Support vector machines in water quality management

(2011) Kunwar P. Singh et al.   ANALYTICA CHIMICA ACTA

A hybrid feature selection scheme and self-organizing map model for machine health assessment

(2011) Jianbo Yu   APPLIED SOFT COMPUTING

RETRACTED ARTICLE: Feature selection for machine learning classification problems: a recent overview

(2011) S. B. Kotsiantis   ARTIFICIAL INTELLIGENCE REVIEW

On Similarity Preserving Feature Selection

(2011) Zheng Zhao et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

An unsupervised approach to feature discretization and selection

(2011) Artur J. Ferreira et al.   PATTERN RECOGNITION

Feature Selection and Kernel Learning for Local Learning-Based Clustering

(2010) Hong Zeng et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A unifying criterion for unsupervised clustering and feature selection

(2010) Mihaela Breaban et al.   PATTERN RECOGNITION

Laplacian Linear Discriminant Analysis Approach to Unsupervised Feature Selection

(2009) S. Niijima et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Fast Solution of $\ell _{1}$-Norm Minimization Problems When the Solution May Be Sparse

(2008) David L. Donoho et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Convex multi-task feature learning

(2008) Andreas Argyriou et al.   MACHINE LEARNING