A data mining-based subset selection for enhanced discrimination using iterative elimination of redundancy

Abstract

The presence of redundant or irrelevant features in data mining may result in a mask of underlying patterns. Thus one often reduces the number of features by applying a feature selection technique. The objective of feature selection is to get a feature subset that has the best performance. This work proposes a new feature selection method using orthogonal… (More)
DOI: 10.1016/j.eswa.2007.11.020

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