private InitialAnalysMultidimensionalData ReversTransform(InitialAnalysMultidimensionalData IAMIndepended, double[,] eightvector)
{
double[,] eightvectorClone = new double[eightvector.GetLength(1), IAMIndepended.Xall.GetLength(1)];
for (int r = 0; r < eightvectorClone.GetLength(0); r++)
{
for (int c = 0; c < eightvectorClone.GetLength(1); c++)
{
eightvectorClone[r, c] = eightvector[r, c];
}
}
double[,] X = Matrix.MultiplicMatrix(IAMIndepended.Xall, Matrix.TranspMatrix(eightvectorClone));
InitialAnalysMultidimensionalData result = new InitialAnalysMultidimensionalData(X, -1);
if (IAM.n == 2)
{
double corel = IAM.K[0, 1];
double fi = Math.Atan(2 * corel * IAM.ISA[0].Gx.Q * IAM.ISA[1].Gx.Q /
(Math.Pow(IAM.ISA[0].Gx.Q, 2) - Math.Pow(IAM.ISA[1].Gx.Q, 2))) / 2;
picture.Image = PaintData.RotateImage(new Bitmap(picture.Image), -fi);
}
return(result);
}
private void BottomValueToolStripMenuItem_Click(object sender, EventArgs e)
{
try { MinimalDispersValue = Convert.ToDouble(MinimalDispers.Text); }
catch { MinimalDispersValue = 0; }
if (IAM.n == 2)
{
double corel = IAM.K[0, 1];
double fi = Math.Atan(2 * corel * IAM.ISA[0].Gx.Q * IAM.ISA[1].Gx.Q /
(Math.Pow(IAM.ISA[0].Gx.Q, 2) - Math.Pow(IAM.ISA[1].Gx.Q, 2))) / 2;
picture.Image = PaintData.RotateImage(new Bitmap(picture.Image), fi);
}
double[,] Xallstandart = new double[IAM.Xall.GetLength(0), IAM.Xall.GetLength(1)];
for (int i = 0; i < IAM.Xall.GetLength(0); i++)
{
for (int j = 0; j < IAM.Xall.GetLength(1); j++)
{
Xallstandart[i, j] = (IAM.Xall[i, j] - IAM.Ex[j]) /* / IAM.ISA[j].Gx.Q*/;
}
}
double[,] X = Matrix.MultiplicMatrix(Xallstandart, IAM.eightvector);
int MaxGroup = -1;
for (int j = 0; j < ML.Count; j++)
{
MaxGroup = Math.Max(MaxGroup, ML[j].Group);
}
List <int> index = new List <int>();
for (int i = 0; i < IAM.n; i++)
{
List <double> Data = new List <double>();
for (int j = 0; j < IAM.N; j++)
{
Data.Add(X[j, i]);
}
InitialStatisticalAnalys ISA = new InitialStatisticalAnalys(Data, MaxGroup + 1);
if (ISA.Dx.Q >= MinimalDispersValue)
{
ML.Add(ISA);
index.Add(ML.Count - 1);
undolist.Add(ML[ML.Count - 1].unsortl);
}
}
WraitData.RefreshList(treeView1, ML);
IAMIndepended = new InitialAnalysMultidimensionalData(ML, index, -1);
IAMIndependedToRevers = new InitialAnalysMultidimensionalData(X, 1);
ReversTransformValueToolStripMenuItem.Visible = true;
Procent = new double[IAM.n];
for (int c = 0; c < IAM.n; c++)
{
for (int r = 0; r < IAMIndepended.Xall.GetLength(1); r++)
{
Procent[c] += Math.Pow(IAM.eightvector[r, c], 2);
}
Procent[c] *= 100;
}
DataGridView.Rows.Clear();
SetData();
SetNextData();
}
