ECM-EFS: An ensemble feature selection based on enhanced co-association matrix

High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection

(2022) Francisco Souza et al.   PATTERN RECOGNITION

Ensemble selection with joint spectral clustering and structural sparsity

(2021) Zhenlei Wang et al.   PATTERN RECOGNITION

Heterogeneous ensemble selection for evolving data streams

(2020) Anh Vu Luong et al.   PATTERN RECOGNITION

Infinite Feature Selection: A Graph-based Feature Filtering Approach

(2020) Giorgio Roffo et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Clustering ensemble based on sample's stability

(2019) Feijiang Li et al.   ARTIFICIAL INTELLIGENCE

Ensemble clustering based on evidence extracted from the co-association matrix

(2019) Caiming Zhong et al.   PATTERN RECOGNITION

Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities

(2018) Dong Huang et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Exploiting the ensemble paradigm for stable feature selection: A case study on high-dimensional genomic data

(2017) Barbara Pes et al.   Information Fusion

Ensemble clustering based on weighted co-association matrices: Error bound and convergence properties

(2017) Vladimir Berikov et al.   PATTERN RECOGNITION

A clustering ensemble: Two-level-refined co-association matrix with path-based transformation

(2015) Caiming Zhong et al.   PATTERN RECOGNITION

Visual hierarchical cluster structure: A refined co-association matrix based visual assessment of cluster tendency

(2015) Caiming Zhong et al.   PATTERN RECOGNITION LETTERS

Improving feature ranking for biomarker discovery in proteomics mass spectrometry data using genetic programming

(2014) Soha Ahmed et al.   CONNECTION SCIENCE

An ensemble of filters and classifiers for microarray data classification

(2011) V. Bolón-Canedo et al.   PATTERN RECOGNITION

Robust biomarker identification for cancer diagnosis with ensemble feature selection methods

(2009) Thomas Abeel et al.   BIOINFORMATICS