Ordered-neighborhood-rough-set

  利用基于排序的邻域粗糙集算法对具有高维属性的元数据进行属性约简，删减多余的无关属性，避免模型的过拟合，提高模型预测精度和模型运算速度(The algorithm based on the ordered neighborhood rough set is used to reduce the attributes of the high dimension attributes, to eliminate the redundant irrelevant attributes, to avoid the over fitting of the model, and to improve the accuracy of the model prediction and the operation speed of the model)

基于排序的邻域粗糙集
....................\clsf_dpd_fast.asv,1621,2016-06-01
....................\clsf_dpd_fast.m,1610,2016-06-03
....................\featureselect_fast.m,1808,2016-06-03
....................\init.m,725,2016-06-03
....................\ionosphere_stand.mat,58274,2016-05-19
....................\ployinterp_column.m,1866,2015-04-15
....................\RBF_4.2.xml,289728,2016-05-20
....................\RBF_4.3.xml,18893,2016-05-20
....................\sonar_stand.mat,78687,2016-05-19
....................\soy_stand.mat,632,2016-05-19
....................\Standard.m,133,2016-06-03
....................\telco_sample_cut.mat,31012,2016-05-22
....................\telco_sample_normali.mat,40462,2016-05-14
....................\telco_sample_stand.txt,97811,2016-05-22
....................\wdbc_stand.mat,118486,2016-05-19
....................\wine_stand.mat,9338,2016-05-19
....................\wpbc_stand.mat,43435,2016-05-19