private void CalcBin_ShowGraph(TireDataColumn column)
{
TireDataSet tds = Editor.SelectedDataSet;
if (SourceCB.SelectedItem as ProjectTree.Node_TireDataSet != null)
{
var ntds = SourceCB.SelectedItem as ProjectTree.Node_TireDataSet;
tds = ntds.GetIDataSet().GetDataSet();
}
var table = (TableCB.SelectedItem as Table?).Value;
Target = new List <double>();
foreach (var data in tds.GetDataList(table))
{
Target.Add(data[column]);
}
Target.Sort();
MainChart.Series[SeriesData].Points.Clear();
if (Target.Count == 0)
{
return;
}
var max = tds.MaxminSet.Limit(table).Max[column];
var min = tds.MaxminSet.Limit(table).Min[column];
var bin = CalculateMinimumEntropyBin(Target, TireData.Resolution()[column], max, min);
double dif = (max - min) / bin.Count;
for (int i = 0; i < bin.Count; ++i)
{
var data = new DataPoint(i * dif + dif / 2 + min, bin[i]);
MainChart.Series[SeriesData].Points.Add(data);
}
//選択
SortedBin = new List <Tuple <int, double> >(bin.Count);
for (int i = 0; i < bin.Count; ++i)
{
SortedBin.Add(new Tuple <int, double>(i, bin[i]));
}
SortedBin.Sort(delegate(Tuple <int, double> ls, Tuple <int, double> rh)
{
if (ls.Item2 == rh.Item2)
{
return(0);
}
return(ls.Item2 - rh.Item2 > 0 ? -1 : 1);
}
);
Bin = bin;
SelectBin(column);
}
void CalculateMinimumEntropy(List <double> list, double max, double min)
{
int i = fistBins;
NumBins = i;
int count = 0;
double minentropy = double.MaxValue;
double entropy;
var Bin = new List <int>(NumBins);
int NumBinsMax = (int)((max - min) / TireData.Resolution()[Column]);
Highest = 0;
int HighestTemp = 0;
while (count < 100 && i < NumBinsMax)
{
Bin.Clear();
entropy = CalculateEntropy(i, list, max, min, Bin);
if (entropy > minentropy)
{
++count;
}
else
{
HighestTemp = Highest;
NumBins = i;
count = 0;
minentropy = entropy;
}
i = (int)Math.Round(i * coe);
}
Highest = (int)(HighestTemp * 1.1);
if (HighestTemp == 0)
{
entropy = CalculateEntropy(i, list, max, min, Bin);
Highest = (int)(Highest * 1.1);
}
}