Deep unsupervised feature selection by discarding nuisance and correlated features
Shaham U, Lindenbaum O, Svirsky J, Kluger Y. Deep unsupervised feature selection by discarding nuisance and correlated features. Neural Networks 2022, 152: 34-43. PMID: 35500458, PMCID: PMC9526895, DOI: 10.1016/j.neunet.2022.04.002.Peer-Reviewed Original ResearchMeSH KeywordsCluster AnalysisConceptsUnsupervised feature selectionCorrelated featuresNuisance featuresFeature selectionReal-world datasetsAutoencoder architectureComplete featuresClustering resultsGraph LaplacianArchitectural designModern datasetsOptimization processDatasetDifferentiable approachUnderlying structureLarge numberSimilar approachFeaturesArchitectureLarge subsetSelectionCode
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