Accelerating wrapper-based feature selection with K-nearest-neighbor

    Knowledge-Based Systems, Volume 83, Issue C, 2015, Pages 81-91.

    Cited by: 44|Bibtex|Views16|Links
    EI

    Abstract:

    We propose to accelerate wrapper-based feature selection with a KNN classifier.We construct a classifier distance matrix to evaluate the quality of a feature.The proposed approach can apply to three types of wrapper-based feature selectors.Theoretical time complexity analysis proves the efficiency of the proposed approach.Experimental res...More

    Code:

    Data:

    Your rating :
    0

     

    Tags
    Comments