void process01EntropyAlgo()
{
this.dt_ready = TheTool.dataTable_partitize(dt_raw_exclude, partition_range); //01 partitize
//------------------------------------------------------------------------------
this.EnAlgo_first_list_F = TheTool.dataTable_getColList(dt_raw_exclude); //unselected feature (pointed by id)
this.list_entropy = TheEntropy.calEntropy(dt_ready);
this.list_MI = TheEntropy.calMIList(dt_ready, list_entropy); //for reuse MI
//Feature Selection Start : get first --------------------------------------
String fi1 = TheEntropy.temp_colWithHigestEntropy;
this.EnAlgo_first_list_F.Remove(fi1);
this.EnAlgo_first_S = TheData.getFeature(fi1, dt_threshold_pose1, dt_threshold_pose2);//Initial Threshold is assigned here (Not optimized)
}
void process01DCFS()
{
//prepare
this.DCFS_listDelta = getListDelta();
this.DCFS_listDeltaCorrelation = TheTool.list_Copy(DCFS_listDelta);
this.DCFS_first_list_F = TheTool.dataTable_getColList(dt_raw_exclude);
this.DCFS_listCorrelation = getlistCorrelation();
//pick first feature
string fi1 = DCFS_listDelta_getMaxValue();
this.DCFS_first_list_F.Remove(fi1);
this.DCFS_first_S = TheData.getFeature(fi1, dt_threshold_pose1, dt_threshold_pose2);
DCFS_listDelta_update(fi1);
}
