Joint adaptive manifold and embedding learning for unsupervised feature selection

Local Discriminative Based Sparse Subspace Learning for Feature Selection

(2019) Ronghua Shang et al.   PATTERN RECOGNITION

Nonnegative Laplacian embedding guided subspace learning for unsupervised feature selection

(2019) Yong Zhang et al.   PATTERN RECOGNITION

Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection

(2018) Xiaofeng Zhu et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Graph autoencoder-based unsupervised feature selection with broad and local data structure preservation

(2018) Siwei Feng et al.   NEUROCOMPUTING

Adaptive Unsupervised Feature Selection With Structure Regularization

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

Joint hypergraph learning and sparse regression for feature selection

(2017) Zhihong Zhang 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

Subspace clustering guided unsupervised feature selection

(2017) Pengfei Zhu et al.   PATTERN RECOGNITION

Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection

(2017) Xiaofeng Zhu et al.   IEEE Transactions on Neural Networks and Learning Systems

Self-representation based dual-graph regularized feature selection clustering

(2016) Ronghua Shang et al.   NEUROCOMPUTING

How many clusters? A robust PSO-based local density model

(2016) Hui-Liang Ling et al.   NEUROCOMPUTING

Unsupervised feature selection by regularized self-representation

(2015) Pengfei Zhu et al.   PATTERN RECOGNITION

Feature Selection Using a Neural Framework With Controlled Redundancy

(2015) Rudrasis Chakraborty et al.   IEEE Transactions on Neural Networks and Learning Systems

Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection

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

Sparse Subspace Clustering: Algorithm, Theory, and Applications

(2013) E. Elhamifar et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Global and Local Structure Preservation for Feature Selection

(2013)   IEEE Transactions on Neural Networks and Learning Systems

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

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

Sparsity preserving projections with applications to face recognition

(2009) Lishan Qiao et al.   PATTERN RECOGNITION