New fast feature selection methods based on multiple support vector data description

Abstract

Feature selection can sort out useful features to obtain good performance when dealing with high-dimensional data. Feature selection methods based on support vector data description (SVDD) have been proposed for one-class classification problems: SVDD-radius-recursive feature elimination (SVDD-RRFE) and SVDD-dual-objective-recursive feature elimination… (More)
DOI: 10.1007/s10489-017-1054-5

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