List <str2_double> getlistCorrelation()
{
List <str2_double> output = new List <str2_double>();
try
{
foreach (List <String> group in TheUKI.list_bodyGroup_full)//List of Redundantable
{
string[] feature = group.ToArray();
for (int i = 0; i < feature.Count(); i++)
{
string s1 = ""; string s2 = "";
if (i == feature.Count() - 1)
{
s1 = feature[i]; s2 = feature[0];
}
else
{
s1 = feature[i]; s2 = feature[i + 1];
}
str2_double new_data = new str2_double();
new_data.str1 = s1;
new_data.str2 = s2;
new_data.v = TheTool.LinearRegression_Cal_Correlation(this.dt_raw_exclude, s1, s2);
output.Add(new_data);
}
}
}
catch (Exception ex) { TheSys.showError(ex); }
return(output);
}
//MI for pair of redundantable feature
public static List <str2_double> calMIList(DataTable dt, List <str_double> list_entropy)
{
List <str2_double> listMI = new List <str2_double>();
try{
foreach (List <String> group in TheUKI.list_bodyGroup_full)//List of Redundantable
{
string[] feature = group.ToArray();
for (int i = 0; i < feature.Count(); i++)
{
string s1 = ""; string s2 = "";
if (i == feature.Count() - 1)
{
s1 = feature[i]; s2 = feature[0];
}
else
{
s1 = feature[i]; s2 = feature[i + 1];
}
List <string> pair = new List <string> {
s1, s2
};
str2_double new_data = new str2_double();
new_data.str1 = s1;
new_data.str2 = s2;
new_data.v = TheTool.str_double_getDouble_byStr(list_entropy, s1);
new_data.v += TheTool.str_double_getDouble_byStr(list_entropy, s2);
new_data.v -= calJointEntropy(dt, pair);
//TheSys.showError(
// Math.Round(TheTool.str_double_getDouble_byStr(list_entropy, s1),2) + " + " +
// Math.Round(TheTool.str_double_getDouble_byStr(list_entropy, s2),2) + " - " +
// calJointEntropy(dt, pair) + " = " + new_data.v);
listMI.Add(new_data);
}
}
}
catch (Exception ex) { TheSys.showError(ex); }
return(listMI);
}
