private void InitializeData(int index)
{
Classter.VFound(IAM);
if (index < 0 || index >= IAM.ISA.Count)
{
return;
}
Classters.Clear();
int parse;
for (int i = 0; i < IAM.ISA[index].unsortl.Length; i++)
{
if (int.TryParse(IAM.ISA[index].unsortl[i].ToString(), out parse) != true)
{
return;
}
}
for (int i = 0; i <= IAM.ISA[index].Max.Q; i++)
{
Classters.Add(new Classter(n));
}
Data = new List <double[]>();
for (int i = 0; i < IAM.N; i++)
{
double[] value = new double[n];
for (int j = 0; j < n; j++)
{
value[j] = IAM.Xall[i, j >= index ? j + 1 : j];
}
Data.Add(value);
Classters[(int)IAM.Xall[i, index]].Add(value);
}
try
{
Classter.IAMFound(Classters.ToArray());
}
catch
{
Classters.Clear();
return;
}
SetData();
if (n == 2)
{
chart.Series.Clear();
Classter.DrawClassters(chart, Classters.ToArray());
}
pDataGridView.ColumnCount = Classters.Count;
pDataGridView.Rows.Add();
for (int i = 0; i < Classters.Count; i++)
{
pDataGridView.Columns[i].Width = 45;
pDataGridView[i, 0].Value = "1";
}
Classter.QFound(Classters.ToArray());
ShowQ(Classter.Q);
}
private static AbyStruct AbyAverageWeighted(Classter Sl, Classter Sh, Classter Sm)
{
return(new AbyStruct {
al = (double)Sl.data.Count / (Sl.data.Count + Sh.data.Count),
ah = (double)Sh.data.Count / (Sl.data.Count + Sh.data.Count),
beta = 0, gama = 0
});
}
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 static AbyStruct AbyYorda(Classter Sl, Classter Sh, Classter Sm)
{
return(new AbyStruct
{
al = (double)(Sm.data.Count + Sl.data.Count) / (Sm.data.Count + Sl.data.Count + Sh.data.Count),
ah = (double)(Sm.data.Count + Sh.data.Count) / (Sm.data.Count + Sl.data.Count + Sh.data.Count),
beta = -(double)Sm.data.Count / (Sm.data.Count + Sl.data.Count + Sh.data.Count),
gama = 0
});
}
private static AbyStruct AbyCenter(Classter Sl, Classter Sh, Classter Sm)
{
return(new AbyStruct
{
al = (double)Sl.data.Count / (Sl.data.Count + Sh.data.Count),
ah = (double)Sh.data.Count / (Sl.data.Count + Sh.data.Count),
beta = -(double)Sh.data.Count * Sl.data.Count / Math.Pow(Sl.data.Count + Sh.data.Count, 2),
gama = 0
});
}
private static AbyStruct AbyMediana(Classter Sl, Classter Sh, Classter Sm)
{
return(new AbyStruct
{
al = 0.5,
ah = 0.5,
beta = -0.25,
gama = 0
});
}
private static AbyStruct AbyAverageNotWeighted(Classter Sl, Classter Sh, Classter Sm)
{
return(new AbyStruct
{
al = 0.5,
ah = 0.5,
beta = 0,
gama = 0
});
}
static public double DSSS(Classter Sl, Classter Sh, Classter Sm)
{
AbyStruct abyData = aby(Sl, Sh, Sm);
double[] dSSarray = new double[] { dSS(Sl, Sm), dSS(Sh, Sm), dSS(Sl, Sh), Math.Abs(dSS(Sh, Sm) - dSS(Sl, Sm)) };
return(abyData.al * dSSarray[0] +
abyData.ah * dSSarray[1] +
abyData.beta * dSSarray[2] +
abyData.gama * dSSarray[3]);
}
private static double DSSAverageNotWeighted(Classter S1, Classter S2)
{
double sum = 0;
for (int l1 = 0; l1 < S1.data.Count; l1++)
{
for (int l2 = 0; l2 < S2.data.Count; l2++)
{
sum += d(S1.data[l1], S2.data[l2]);
}
}
return(sum / (4.0));
}
private static double DSSMaxNeighborhood(Classter S1, Classter S2)
{
double max = double.MinValue;
for (int l1 = 0; l1 < S1.data.Count; l1++)
{
for (int l2 = 0; l2 < S2.data.Count; l2++)
{
max = Math.Max(max, d(S1.data[l1], S2.data[l2]));
}
}
return(max);
}
static public Classter Merge(Classter C1, Classter C2)
{
Classter result = new Classter(C1.data[0]);
for (int i = 1; i < C1.data.Count; i++)
{
result.Add(C1.data[i]);
}
for (int i = 0; i < C2.data.Count; i++)
{
result.Add(C2.data[i]);
}
return(result);
}
private void AgmomerativClassterizate(int K)
{
List <Classter> classters = new List <Classter>();
for (int i = 0; i < Data.Count; i++)
{
classters.Add(new Classter(Data[i]));
}
DataGridView datagrid = new DataGridView()
{
AllowUserToAddRows = false
};
datagrid.ColumnCount = classters.Count;
datagrid.Rows.Add(classters.Count);
for (int c = 0; c < classters.Count; c++)
{
for (int r = c; r < classters.Count; r++)
{
double len = Classter.d(classters[c].Center, classters[r].Center);
datagrid[c, r].Value = len == 0 ? double.MaxValue: len;
datagrid[r, c].Value = datagrid[c, r].Value;
}
}
while (datagrid.ColumnCount != K)
{
Point index = IndexMinValueDataGrid(datagrid);
datagrid.Columns.Add("NewCol" + datagrid.ColumnCount.ToString(), "");
datagrid.Rows.Add();
classters.Add(Classter.Merge(classters[index.X], classters[index.Y]));
for (int i = 0; i < classters.Count; i++)
{
double len = Classter.DSSS(classters[index.X], classters[index.Y], classters[i]);
datagrid[datagrid.ColumnCount - 1, i].Value = len == 0 ? double.MaxValue : len;
datagrid[i, datagrid.Rows.Count - 1].Value = datagrid[datagrid.ColumnCount - 1, i].Value;
}
classters.RemoveAt(Math.Max(index.X, index.Y));
datagrid.Columns.RemoveAt(Math.Max(index.X, index.Y));
datagrid.Rows.RemoveAt(Math.Max(index.X, index.Y));
classters.RemoveAt(Math.Min(index.X, index.Y));
datagrid.Columns.RemoveAt(Math.Min(index.X, index.Y));
datagrid.Rows.RemoveAt(Math.Min(index.X, index.Y));
}
Classters = classters;
}
private static double DSSYorda(Classter S1, Classter S2)
{
double[] Ce1 = S1.Center;
double[] Ce2 = S2.Center;
return(Math.Pow(d(Ce1, Ce2), 2) * S1.data.Count * S2.data.Count / (S1.data.Count + S2.data.Count));
}
private static double DSSCenter(Classter S1, Classter S2)
{
double[] Ce1 = S1.Center;
double[] Ce2 = S2.Center;
return(d(Ce1, Ce2));
}
private static double DSSMediana(Classter S1, Classter S2)
{
double[] Me1 = S1.Mediana();
double[] Me2 = S2.Mediana();
return(d(Me1, Me2) / 2.0);
}
private static AbyStruct AbyMaxNeighborhood(Classter Sl, Classter Sh, Classter Sm)
{
return(new AbyStruct {
ah = 0.5, al = 0.5, beta = 0, gama = 0.5
});
}
