public Classterization(InitialAnalysMultidimensionalData IAM,
ref List <InitialStatisticalAnalys> ML, ref List <double[]> undolist, ref TreeView treeView1)
{
this.IAM = IAM;
this.ML = ML;
this.undolist = undolist;
this.treeView1 = treeView1;
Data = new List <double[]>();
for (int i = 0; i < IAM.N; i++)
{
double[] value = new double[IAM.n];
for (int j = 0; j < IAM.n; j++)
{
value[j] = IAM.Xall[i, j];
}
Data.Add(value);
}
InitializeComponent();
SetData();
if (IAM.n == 2)
{
chart.Series.Add(PaintData.CorelPaint(IAM.ISA[0].unsortl, IAM.ISA[1].unsortl, Color.Blue, ""));
chart.Series.Add(ClassterCenterSer);
}
}
static public void DrawClassters(Chart chart, Classter[] classters)
{
for (int i = 0; i < classters.Length; i++)
{
chart.Series.Add(PaintData.CorelPaint(classters[i].IAM.ISA[0].unsortl, classters[i].IAM.ISA[1].unsortl,
PaintData.HsvToRgb(360.0 * i / classters.Length, 1, 1), "Класстер: " + (i + 1).ToString()));
}
}
private void Classterizate_Click(object sender, EventArgs e)
{
Classter.ChangeD(TypeDComboBox.Text);
Classter.ChangeDSS(TypeDSSComboBox.Text);
Classter.VFound(IAM);
if (MethodComboBox.SelectedIndex == 0)
{
if (Classters.Count < 2)
{
return;
}
KAverage();
}
else if (MethodComboBox.SelectedIndex == 1)
{
AdditionalInformationForm AIF = new AdditionalInformationForm("Введіть K");
int index;
try
{ index = Convert.ToInt32(AIF.getString()); }
catch
{ return; }
AgmomerativClassterizate(index > 1 ? index : 2);
}
if (IAM.n == 2)
{
chart.Series[0].Enabled = chart.Series[1].Enabled = Classterizate.Visible = false;
}
int MaxGroup = -1;
for (int j = 0; j < ML.Count; j++)
{
MaxGroup = Math.Max(MaxGroup, ML[j].Group);
}
for (int i = 0; i < Classters.Count; i++)
{
InitialStatisticalAnalys[] ISA = Classters[i].ToISA(MaxGroup + i + 1);
if (IAM.n == 2)
{
chart.Series.Add(
PaintData.CorelPaint(ISA[0].unsortl, ISA[1].unsortl, GetColor(i),
"Classter" + (i + 1).ToString()));
chart.Series[chart.Series.Count - 1].MarkerSize = 10;
}
for (int j = 0; j < ISA.Length; j++)
{
ML.Add(ISA[j]);
undolist.Add(ML[ML.Count - 1].unsortl);
}
}
WraitData.RefreshList(treeView1, ML);
Classter.QFound(Classters.ToArray());
ShowQ(Classter.Q);
}
private void CorelAreachartPaint(InitialAnalysMultidimensionalData IAM, Color CorelCol, Color GistCol, Chart CorelChart, Color ColLine)
{
for (int i = 0; i < IAM.n; i++)
{
for (int j = 0; j < IAM.n; j++)
{
string ChartAreaName = j.ToString() + "_" + i.ToString();
ChartArea ChartArea1 = new ChartArea(ChartAreaName);
ChartArea1.AxisX.LabelStyle.Enabled = false;
ChartArea1.AxisY.LabelStyle.Enabled = false;
CorelChart.ChartAreas.Add(ChartArea1);
var po = CorelAreachart.ChartAreas[0].Position;
Series ser;
if (i != j)
{
InitialStatisticalAnalys ISAX = new InitialStatisticalAnalys(InitialStatisticalAnalys.StandData(IAM.ISA[i].unsortl, IAM.ISA[i].Gx.Q, IAM.ISA[i].Mx.Q));
InitialStatisticalAnalys ISAY = new InitialStatisticalAnalys(InitialStatisticalAnalys.StandData(IAM.ISA[j].unsortl, IAM.ISA[j].Gx.Q, IAM.ISA[j].Mx.Q));
ser = PaintData.CorelPaint(ISAX.unsortl, ISAY.unsortl, CorelCol, ChartAreaName);
ser.MarkerStyle = MarkerStyle.Circle;
CorelChart.Series.Add(ser);
double Sz = 0;
if (Correlation_RegressionAnalysis.KorelationZnach(IAM.K[i, j], IAM.N, IAM.ISA[0].alf.Q))
{
List <Data> Param = Correlation_RegressionAnalysis.RegresParamFound(
ISAX,
ISAY,
IAM.K[i, j], RegresTypeName.LineRegresion, ref Sz);
Series serReg = PaintData.LineRegresPaint(ISAX.Min.Q,
ISAX.Max.Q,
Param[0].Q,
Param[1].Q,
ColLine,
ChartAreaName + "Line");
serReg.ChartArea = ChartAreaName;
CorelChart.Series.Add(serReg);
}
}
else
{
ser = PaintData.GistogPaint(IAM.ISA[i], GistCol, ChartAreaName);
CorelChart.Series.Add(ser);
}
ser.ChartArea = ChartAreaName;
}
}
}
