Classifier-Independent Feature Selection For Two-Stage Feature Selection
نویسندگان
چکیده
The eeectiveness of classiier-independent feature selection is described. The aim is to remove garbage features and to improve the classiication accuracy of all the practical classiiers compared with the situation where all the given features are used. Two algorithms of classiier-independent feature selection and two other conventional classiier-speciic algorithms are compared on three sets of real data. In addition, two-stage feature selection is proposed.
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