//-------------------------------------------------
public double [] Consensus()
{
List <int> aDimVector = MyInputVectors[0].Dims;
double[] consensus = new double[aDimVector.Count];
foreach (sparseMatrixRow smr in MyInputVectors)
{
//We should make a clone
sparseMatrixRow cv = new sparseMatrixRow(0);
foreach (double v in smr.Values)
{
cv.Values.Add(v);
}
cv.ConvertToUnitVector();
for (int i = 0; i < cv.Values.Count; i++)
{
consensus[i] += cv.Values[i];
}
}
for (int i = 0; i < consensus.Length; i++)
{
consensus[i] /= (double)MyInputVectors.Count;
}
return(consensus);
}
/// <summary>
/// Returns the sum of the euclidian stress
/// </summary>
/// <param name="sn"></param>
/// <returns></returns>
public double EStress(SpectralNode sn)
{
double eSumm = 0;
List <double> consensus = sn.Consensus().ToList();
foreach (sparseMatrixRow r in sn.MyInputVectors)
{
sparseMatrixRow cv = new sparseMatrixRow(0);
foreach (double v in r.Values)
{
cv.Values.Add(v);
}
cv.ConvertToUnitVector();
eSumm += PatternTools.pTools.EuclidianDistance(consensus, cv.Values);
}
return(eSumm);
}
private void buttonPlotCluster_Click(object sender, EventArgs e)
{
List <int> aDimVector = resultsClusterAnalysis[(int)dataGridViewCluster.Rows[0].Cells[1].Value].MyInputVectors[0].Dims;
double[] consensus = new double[aDimVector.Count];
double conCounter = 0;
plotDataTable = new DataTable();
plotDataTable.Columns.Add("ID");
plotDataTable.Columns.Add("Description");
DataColumn dc = new DataColumn("Euclidian");
//dc.DataType = System.Type.GetType("System.Double");
plotDataTable.Columns.Add(dc);
for (int i = 0; i < aDimVector.Count; i++)
{
DataColumn column = new DataColumn();
column.DataType = typeof(double);
plotDataTable.Columns.Add(aDimVector[i].ToString());
}
dataGridViewPlotData.AutoGenerateColumns = true;
dataGridViewPlotData.DataSource = plotDataTable;
for (int r = 0; r < dataGridViewCluster.Rows.Count; r++)
{
if ((bool)dataGridViewCluster.Rows[r].Cells[0].Value)
{
//Lets Construct a line for each element in the node
foreach (sparseMatrixRow inputVector in resultsClusterAnalysis[(int)dataGridViewCluster.Rows[r].Cells[1].Value].MyInputVectors)
{
conCounter++;
//We should make a clone
sparseMatrixRow cv = new sparseMatrixRow(0);
foreach (double v in inputVector.Values)
{
cv.Values.Add(v);
}
cv.ConvertToUnitVector();
for (int i = 0; i < cv.Values.Count; i++)
{
consensus[i] += cv.Values[i];
}
DataRow row = plotDataTable.NewRow();
row["ID"] = plp.MyIndex.GetName(inputVector.Lable);
row["Description"] = plp.MyIndex.GetDescription(inputVector.Lable);
for (int i = 0; i < inputVector.Dims.Count; i++)
{
row[inputVector.Dims[i].ToString()] = cv.Values[i];
}
plotDataTable.Rows.Add(row);
}
}
}
UpdateEuclidian();
Plot();
}