private Objects.ExcelGroup[][] BuildGroups(double Enclosing)
{
Objects.ExcelGroup[][] excelGroupsArray = new Objects.ExcelGroup[inputHumen[0].NormalizedRanges.Length][];
for (int column = 0; column < inputHumen[0].NormalizedRanges.Length; column++)
{
Objects.ExcelGroup[] excelGroups = new Objects.ExcelGroup[analizedTuplesArray[column].analizedGroups.Length];
for (int group = 0; group < analizedTuplesArray[column].analizedGroups.Length; group++)
{
Objects.AnalizedGroup currentAnalizedGroup = analizedTuplesArray[column].analizedGroups[group];
excelGroups[group] = new Objects.ExcelGroup(currentAnalizedGroup.percent, currentAnalizedGroup.mediana, group);
double[] Squares = new double[currentAnalizedGroup.participatns.Length];
double[] Qubes = new double[currentAnalizedGroup.participatns.Length];
for (int part = 0; part < currentAnalizedGroup.participatns.Length; part++)
{
Squares[part] = Math.Pow(currentAnalizedGroup.participatns[part] - currentAnalizedGroup.mediana, 2);
Qubes[part] = Math.Pow(currentAnalizedGroup.participatns[part] - currentAnalizedGroup.mediana, 3);
}
excelGroups[group].standartDerivation = Math.Sqrt(Squares.Sum() / (Squares.Length - 1));
excelGroups[group].min = currentAnalizedGroup.min;
excelGroups[group].max = currentAnalizedGroup.max;
excelGroups[group].count = currentAnalizedGroup.count;
excelGroups[group].assymetry = Qubes.Sum() / (Squares.Length * Math.Pow(currentAnalizedGroup.dispersia, 3));
excelGroups[group].vars = currentAnalizedGroup.participatns;
if (group < analizedTuplesArray[column].analizedGroups.Length - 1)
{
Objects.AnalizedGroup nextAnalizedGroup = analizedTuplesArray[column].analizedGroups[group + 1];
double Mean1 = currentAnalizedGroup.participatns.Average();
double Mean2 = nextAnalizedGroup.participatns.Average();
double Mediana1 = currentAnalizedGroup.mediana;
double Mediana2 = nextAnalizedGroup.mediana;
double NormAll = analizedTuplesArray[column].max - analizedTuplesArray[column].min;
double Min1 = currentAnalizedGroup.min;
double Max1 = currentAnalizedGroup.max;
double Min2 = nextAnalizedGroup.min;
double Max2 = nextAnalizedGroup.max;
excelGroups[group].closingTo = CoeffCounter(Mean1, Mean2, Mediana1, Mediana2, NormAll, Min1, Max1, Min2, Max2);
}
}
excelGroups = Encloser(excelGroups, Enclosing, column);
excelGroupsArray[column] = excelGroups;
}
this.builded = excelGroupsArray;
return(excelGroupsArray);
}
private Objects.ExcelGroup[] Encloser(Objects.ExcelGroup[] BuildGroups, double Enclosing, int column)
{
BuildGroups = BuildGroups.OrderByDescending(x => x.closingTo).ToArray();
if (BuildGroups[0].closingTo > Enclosing)
{
List <Objects.ExcelGroup> excelGroupsList = BuildGroups.ToList();
Objects.ExcelGroup firstGroup = BuildGroups[0];
Objects.ExcelGroup secondGroup = BuildGroups.FirstOrDefault(x => x.number == firstGroup.number + 1);
double weightFirst = (double)firstGroup.count / (firstGroup.count + secondGroup.count);
double weightSecond = (double)secondGroup.count / (firstGroup.count + secondGroup.count);
double meadiana = weightFirst * firstGroup.mediana + weightSecond * secondGroup.mediana;
double percent = firstGroup.percent + secondGroup.percent;
double mean = (secondGroup.max - firstGroup.min) / 2;
List <double> fV = firstGroup.vars.ToList();
List <double> lV = secondGroup.vars.ToList();
List <double> sV = secondGroup.vars.ToList();
sV.AddRange(fV);
double[] cV = new double[sV.Count];
cV = sV.ToArray();
double[] ScV = new double[cV.Length];
double[] QcV = new double[cV.Length];
for (int v = 0; v < cV.Length; v++)
{
ScV[v] = Math.Pow(cV[v] - mean, 2);
QcV[v] = Math.Pow(cV[v] - mean, 3);
}
Objects.ExcelGroup compound = new Objects.ExcelGroup(percent, meadiana, 0)
{
min = firstGroup.min,
max = secondGroup.max,
count = firstGroup.count + secondGroup.count,
vars = cV,
standartDerivation = Math.Sqrt(ScV.Sum() / (ScV.Length - 1)),
assymetry = QcV.Sum() / (QcV.Length * Math.Pow(ScV.Sum() / ScV.Length, (3 / 2)))
};
excelGroupsList.Remove(firstGroup);
excelGroupsList.Remove(secondGroup);
excelGroupsList.Add(compound);
excelGroupsList = excelGroupsList.OrderBy(x => x.mediana).ToList();
for (int group = 0; group < excelGroupsList.Count; group++)
{
excelGroupsList[group].number = group;
if (group < excelGroupsList.Count - 1)
{
Objects.ExcelGroup nextExcelGroup = excelGroupsList[group + 1];
Objects.ExcelGroup currentExcelGroup = excelGroupsList[group];
double Mean1 = fV.Average();
double Mean2 = lV.Average();
double Mediana1 = currentExcelGroup.mediana;
double Mediana2 = nextExcelGroup.mediana;
double NormAll = analizedTuplesArray[column].max - analizedTuplesArray[column].min;
double Min1 = currentExcelGroup.min;
double Max1 = currentExcelGroup.max;
double Min2 = nextExcelGroup.min;
double Max2 = nextExcelGroup.max;
excelGroupsList[group].closingTo = CoeffCounter(Mean1, Mean2, Mediana1, Mediana2, NormAll, Min1, Max1, Min2, Max2);
}
}
Objects.ExcelGroup[] reTry = new Objects.ExcelGroup[excelGroupsList.Count];
reTry = excelGroupsList.ToArray();
BuildGroups = Encloser(reTry, Enclosing, column);
}
BuildGroups = BuildGroups.OrderBy(x => x.mediana).ToArray();
return(BuildGroups);
}
