private void ReduceDim(reduceDimantion rdForm)
{
//IF WE REDUCED DIMANTION
if (rdForm.method_calced == true)
{
//SET VALUES FROM FORM
eigenvalues = rdForm.eigenvalues;
traininglData_lower_dim = rdForm.finalData;
method = rdForm.method;
dimSize = rdForm.dimSize;
Components = rdForm.Components;
//set training data with lower dimantion
SetDataLowerDim(training_data_low_dim_dt, traininglData_lower_dim, dimSize);
}
}
//DO PCA
private void PCA_DATA()
{
//GET DATA MATRIX IN THE FORMATE ACCORD CAN USE (DOUBLE [,])
double[,] training_matrix = new double[dt.Rows.Count, dt.Columns.Count];;
SetMatrixFromDataTable(training_matrix, dt);
//Create the Principal Component Analysis
var pca = new PrincipalComponentAnalysis(training_matrix);
//PCA COMPUTE
pca.Compute();
//SET DATA
finalData = pca.Transform(training_matrix);
eigenvalues = pca.Eigenvalues;
Components = pca.Components;
}
/// <summary>
/// Creates additional information about principal components.
/// </summary>
///
protected void CreateComponents()
{
int numComponents = singularValues.Length;
componentProportions = new double[numComponents];
componentCumulative = new double[numComponents];
// Calculate proportions
double sum = 0.0;
for (int i = 0; i < numComponents; i++)
{
sum += System.Math.Abs(eigenvalues[i]);
}
sum = (sum == 0) ? 0.0 : (1.0 / sum);
for (int i = 0; i < numComponents; i++)
{
componentProportions[i] = System.Math.Abs(eigenvalues[i]) * sum;
}
// Calculate cumulative proportions
this.componentCumulative[0] = this.componentProportions[0];
for (int i = 1; i < this.componentCumulative.Length; i++)
{
this.componentCumulative[i] = this.componentCumulative[i - 1] + this.componentProportions[i];
}
// Creates the object-oriented structure to hold the principal components
PrincipalComponent[] components = new PrincipalComponent[singularValues.Length];
for (int i = 0; i < components.Length; i++)
{
components[i] = new PrincipalComponent(this, i);
}
this.componentCollection = new PrincipalComponentCollection(components);
}