Novel Unsupervised Feature Filtering of Biological Data

By Roy Varshavsky, Assaf Gottlieb, Michal Linial, David Horn. Intelligent Systems in Molecular Biology, 2006

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Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection (2016, methodology): “Feature extraction is a technique that transforms the original feature space into a distinct space with different set of axes in order to reduce the dimensionality of the data [20], whereas feature selection reduces the original feature space into a subspace without transformation.”
A review of feature selection techniques in bioinformatics (2007, background): “The interesting topic of feature selection for unsupervised learning (clustering) is a more complex issue, and research into this field is recently getting more attention in several communities [79, 122].”