A sparse pair-preserving centroid-based supervised learning method for high-dimensional biomedical data or images
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DOI: 10.1016/j.bbe.2020.03.008
Abstract: Abstract In various biomedical applications designed to compare two groups (e.g. patients and controls in matched case-control studies), it is often desirable to perform a dimensionality reduction in order to learn a classification rule over… read more here.
Keywords: high dimensional; sparse pair; matched case; pair preserving ... See more keywords