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 Description: The Bhattacharyya distance of feature subset is used as the evaluation function of floating order search algorithm to evaluate the contribution of feature subset to sample classification Where represents the Bhattacharyya distance of the characteristic subset with I genes. The sum of the mean vectors of genes with feature subsets in normal and HCC samples is the corresponding covariance matrix. Let it be the gene set with the largest evaluation function value in the feature subset containing I genes, which represents the gene set with the largest contribution to the classification of all feature gene subsets with dimension I. The floating order search algorithm is used to search in the feature subset space, and candidate feature subsets with different dimensions are obtained,
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文件名大小更新时间
FFSA.m 4942 2020-08-01
Test_PNN_Optimal.m 1998 2020-08-02
Bt.m 658 2020-08-01

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