4.6 Review

A review of unsupervised feature selection methods

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Robust graph regularized unsupervised feature selection

Chang Tang et al.

EXPERT SYSTEMS WITH APPLICATIONS (2018)

Article Computer Science, Artificial Intelligence

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

Chang Tang et al.

KNOWLEDGE-BASED SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

Structure preserving unsupervised feature selection

Quanmao Lu et al.

NEUROCOMPUTING (2018)

Article Computer Science, Artificial Intelligence

Feature selection in machine learning: A new perspective

Jie Cai et al.

NEUROCOMPUTING (2018)

Article Computer Science, Artificial Intelligence

Feature Selection With l(2,1-2) Regularization

Yong Shi et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

Adaptive Unsupervised Feature Selection With Structure Regularization

Minnan Luo et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)

Review Computer Science, Artificial Intelligence

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

Pui Yi Lee et al.

IMAGE AND VISION COMPUTING (2017)

Article Computer Science, Artificial Intelligence

Non-convex regularized self-representation for unsupervised feature selection

Pengfei Zhu et al.

IMAGE AND VISION COMPUTING (2017)

Article Computer Science, Artificial Intelligence

Unsupervised feature selection via low-rank approximation and structure learning

Shiping Wang et al.

KNOWLEDGE-BASED SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

Robust unsupervised feature selection via matrix factorization

Shiqiang Du et al.

NEUROCOMPUTING (2017)

Article Computer Science, Artificial Intelligence

A Survey on semi-supervised feature selection methods

Razieh Sheikhpour et al.

PATTERN RECOGNITION (2017)

Article Computer Science, Artificial Intelligence

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

Saul Solorio-Fernandez et al.

PATTERN RECOGNITION (2017)

Article Computer Science, Information Systems

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

Wei Zhou et al.

IEEE ACCESS (2017)

Article Computer Science, Artificial Intelligence

Unsupervised probabilistic feature selection using ant colony optimization

Behrouz Zamani Dadaneh et al.

EXPERT SYSTEMS WITH APPLICATIONS (2016)

Article Computer Science, Theory & Methods

A survey of anomaly detection techniques in financial domain

Mohiuddin Ahmed et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2016)

Review Biochemical Research Methods

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

Jun Chin Ang et al.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2016)

Article Computer Science, Artificial Intelligence

Unsupervised spectral feature selection with l1-norm graph

Xiaodong Wang et al.

NEUROCOMPUTING (2016)

Article Computer Science, Artificial Intelligence

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

Saul Solorio-Fernandez et al.

NEUROCOMPUTING (2016)

Proceedings Paper Computer Science, Artificial Intelligence

Unsupervised Feature Selection with Graph Regularized Nonnegative Self-representation

Yugen Yi et al.

BIOMETRIC RECOGNITION (2016)

Proceedings Paper Business

A Survey on Feature Selection

Jianyu Miao et al.

PROMOTING BUSINESS ANALYTICS AND QUANTITATIVE MANAGEMENT OF TECHNOLOGY: 4TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (ITQM 2016) (2016)

Article Computer Science, Artificial Intelligence

Unsupervised Feature Selection via Nonnegative Spectral Analysis and Redundancy Control

Zechao Li et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2015)

Article Computer Science, Artificial Intelligence

Selecting feature subset with sparsity and low redundancy for unsupervised learning

Jiuqi Han et al.

KNOWLEDGE-BASED SYSTEMS (2015)

Article Computer Science, Artificial Intelligence

Unsupervised feature selection via maximum projection and minimum redundancy

Shiping Wang et al.

KNOWLEDGE-BASED SYSTEMS (2015)

Article Computer Science, Artificial Intelligence

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

Sina Tabakhi et al.

NEUROCOMPUTING (2015)

Article Computer Science, Artificial Intelligence

Relevance-redundancy feature selection based on ant colony optimization

Sina Tabakhi et al.

PATTERN RECOGNITION (2015)

Article Computer Science, Artificial Intelligence

Unsupervised feature selection by regularized self-representation

Pengfei Zhu et al.

PATTERN RECOGNITION (2015)

Article Computer Science, Artificial Intelligence

Feature selection for unsupervised learning through local learning

Jin Yao et al.

PATTERN RECOGNITION LETTERS (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Survey on Anomaly Detection using Data Mining Techniques

Shikha Agrawal et al.

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015 (2015)

Article Computer Science, Hardware & Architecture

A survey on feature selection methods

Girish Chandrashekar et al.

COMPUTERS & ELECTRICAL ENGINEERING (2014)

Article Automation & Control Systems

An unsupervised feature selection algorithm based on ant colony optimization

Sina Tabakhi et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2014)

Article Computer Science, Artificial Intelligence

An Unsupervised Feature Selection Framework for Social Media Data

Jiliang Tang et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2014)

Article Computer Science, Artificial Intelligence

Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection

Zechao Li et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2014)

Article Computer Science, Information Systems

Feature selection with SVD entropy: Some modification and extension

Monami Banerjee et al.

INFORMATION SCIENCES (2014)

Article

Intelligent Image Retrieval Techniques: A Survey

Mussarat Yasmin et al.

JOURNAL OF APPLIED RESEARCH AND TECHNOLOGY (2014)

Review Computer Science, Artificial Intelligence

A review of feature selection methods based on mutual information

Jorge R. Vergara et al.

NEURAL COMPUTING & APPLICATIONS (2014)

Article Automation & Control Systems

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

Chenping Hou et al.

IEEE TRANSACTIONS ON CYBERNETICS (2014)

Proceedings Paper Computer Science, Artificial Intelligence

SCAMS: Simultaneous Clustering and Model Selection

Zhuwen Li et al.

2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2014)

Article Mathematics, Applied

A hybrid feature selection scheme for mixed attributes data

Haitao Liu et al.

COMPUTATIONAL & APPLIED MATHEMATICS (2013)

Article Computer Science, Artificial Intelligence

On Similarity Preserving Feature Selection

Zheng Zhao et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2013)

Article Biochemical Research Methods

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

Cosmin Lazar et al.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2012)

Article Computer Science, Artificial Intelligence

An unsupervised approach to feature discretization and selection

Artur J. Ferreira et al.

PATTERN RECOGNITION (2012)

Article Chemistry, Analytical

Support vector machines in water quality management

Kunwar P. Singh et al.

ANALYTICA CHIMICA ACTA (2011)

Article Computer Science, Artificial Intelligence

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

Jianbo Yu

APPLIED SOFT COMPUTING (2011)

Article Computer Science, Artificial Intelligence

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

S. B. Kotsiantis

ARTIFICIAL INTELLIGENCE REVIEW (2011)

Article Computer Science, Artificial Intelligence

Feature Selection and Kernel Learning for Local Learning-Based Clustering

Hong Zeng et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2011)

Article Computer Science, Artificial Intelligence

A unifying criterion for unsupervised clustering and feature selection

Mihaela Breaban et al.

PATTERN RECOGNITION (2011)

Article Biochemical Research Methods

Laplacian Linear Discriminant Analysis Approach to Unsupervised Feature Selection

Satoshi Niijima et al.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2009)

Article Computer Science, Information Systems

Fast Solution of l1-Norm Minimization Problems When the Solution May Be Sparse

David L. Donoho et al.

IEEE TRANSACTIONS ON INFORMATION THEORY (2008)

Article Computer Science, Artificial Intelligence

Convex multi-task feature learning

Andreas Argyriou et al.

MACHINE LEARNING (2008)

Article Computer Science, Theory & Methods

A tutorial on spectral clustering

Ulrike von Luxburg

STATISTICS AND COMPUTING (2007)

Review Biochemical Research Methods

A review of feature selection techniques in bioinformatics

Yvan Saeys et al.

BIOINFORMATICS (2007)

Article Biochemical Research Methods

Novel unsupervised feature filtering of biological data

Roy Varshavsky et al.

BIOINFORMATICS (2006)

Article Mathematical & Computational Biology

Longitudinal profiling of health care units based on continuous and discrete patient outcomes

MJ Daniels et al.

BIOSTATISTICS (2006)

Article Computer Science, Artificial Intelligence

Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy

HC Peng et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)

Article Automation & Control Systems

Identifying critical variables of principal components for unsupervised feature selection

KZ Mao

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2005)

Article Computer Science, Artificial Intelligence

Toward integrating feature selection algorithms for classification and clustering

H Liu et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2005)

Article Computer Science, Artificial Intelligence

Simultaneous feature selection and clustering using mixture models

MHC Law et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2004)

Article Computer Science, Artificial Intelligence

Unsupervised feature selection using feature similarity

P Mitra et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2002)

Article Computer Science, Artificial Intelligence

Unsupervised learning of finite mixture models

MAT Figueiredo et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2002)

Article Multidisciplinary Sciences

Nonlinear dimensionality reduction by locally linear embedding

ST Roweis et al.

SCIENCE (2000)

Article Computer Science, Artificial Intelligence

Adaptive intrusion detection: A data mining approach

WK Lee et al.

ARTIFICIAL INTELLIGENCE REVIEW (2000)

Article Multidisciplinary Sciences

Singular value decomposition for genome-wide expression data processing and modeling

O Alter et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2000)

Article Computer Science, Artificial Intelligence

Unsupervised feature evaluation: A neuro-fuzzy approach

SK Pal et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2000)