public Objects.AnalizedTuple DAUResearcher(int column, double Entropy, Objects.AnalizedTuple analizedTuple)
{
DenseAbsorbsUndense denseAbsorbsUndense = new DenseAbsorbsUndense();
List <Objects.AnalizedGroup> analizedGroupsList = analizedTuple.analizedGroups.ToList();
for (int i = 0; i < analizedTuple.analizedGroups.Length; i++)
{
if (analizedTuple.analizedGroups[i].dispersia > minDispers)
{
Objects.AnalizedTuple analizedTupleNew = denseAbsorbsUndense.Worker(analizedTuple.analizedGroups[i].participatns, column, Entropy);
analizedGroupsList.Remove(analizedTuple.analizedGroups[i]);
analizedGroupsList.AddRange(analizedTupleNew.analizedGroups);
}
}
Objects.AnalizedGroup[] analizedGroupsArray = new Objects.AnalizedGroup[analizedGroupsList.Count];
analizedGroupsArray = analizedGroupsList.OrderBy(x => x.mediana).ToArray();
analizedTuple.groupsCount = analizedGroupsArray.Length;
analizedTuple.analizedGroups = analizedGroupsArray;
return(analizedTuple);
}
public void DataGetter(double Upper, double Entropy, int times, int column, bool OneSided)
{
if (method == DBL)
{
DistantBecomesLast distantBecomesLast = new DistantBecomesLast();
if (column < inputHumenArray[0].Normalized.Length && !OneSided)
{
this.Entropy = Entropy;
if (times == 0)
{
this.minDispers = 10000;
}
EvaluatorDBL(column, times, distantBecomesLast.Sorter(inputHumenArray, column, Upper, Entropy, false));
}
else if (column < inputHumenArray[0].Normalized.Length)
{
bestAnalizedTuplesList.Add(distantBecomesLast.Sorter(inputHumenArray, column, Upper, Entropy, true));
//mainPage.UpdateStats("ended " + column);
}
else
{
Objects.AnalizedTuple[] analizedTuplesArray = new Objects.AnalizedTuple[bestAnalizedTuplesList.Count];
analizedTuplesArray = GroupsWritter(bestAnalizedTuplesList.ToArray());
string bestObjects = JsonConvert.SerializeObject(new Objects.AlgorhytmOutPut(inputHumenArray, analizedTuplesArray, method));
if (!Directory.Exists(storageFolder))
{
Directory.CreateDirectory(storageFolder);
}
File.WriteAllText(storageFolder + "\\temp.json", bestObjects);
}
}
else
{
DenseAbsorbsUndense denseAbsorbsUndense = new DenseAbsorbsUndense();
if (column < inputHumenArray[0].Normalized.Length && !OneSided)
{
this.Entropy = Entropy;
if (times == 0)
{
this.minDispers = denseAbsorbsUndense.DispersiaOfArray(column, inputHumenArray) / DispersiaDivideIndex;
}
Objects.AnalizedTuple analizedTuple = denseAbsorbsUndense.Sorter(inputHumenArray, column, Entropy);
int step = 0;
do
{
step++;
analizedTuple = DAUResearcher(column, Entropy, analizedTuple);
} while (analizedTuple.analizedGroups.Any(x => x.dispersia > minDispers) && step < MaxCalls / 5);
EvaluatorDAU(column, times, analizedTuple);
//mainPage.UpdateStats("ended " + column);
}
else
{
Objects.AnalizedTuple[] analizedTuplesArray = new Objects.AnalizedTuple[bestAnalizedTuplesList.Count];
analizedTuplesArray = GroupsWritter(bestAnalizedTuplesList.ToArray());
string bestObjects = JsonConvert.SerializeObject(new Objects.AlgorhytmOutPut(inputHumenArray, analizedTuplesArray, method));
if (!Directory.Exists(storageFolder))
{
Directory.CreateDirectory(storageFolder);
}
File.WriteAllText(storageFolder + "\\temp.json", bestObjects);
}
}
}
