Analysis.KPCA.MainForm.btnCompute_Click C# (CSharp) Method

        private void btnCompute_Click(object sender, EventArgs e)
        {
            // Save any pending changes 
            dgvAnalysisSource.EndEdit();

            if (dgvAnalysisSource.DataSource == null)
            {
                MessageBox.Show("Please load some data using File > Open!");
                return;
            }

            // Create a matrix from the source data table
            double[][] sourceMatrix = (dgvAnalysisSource.DataSource as DataTable).ToArray(out columnNames);

            // Create and compute a new Simple Descriptive Analysis
            sda = new DescriptiveAnalysis()
            {
                ColumnNames = columnNames
            };

            sda.Learn(sourceMatrix);

            // Show the descriptive analysis on the screen
            dgvDistributionMeasures.DataSource = sda.Measures;


            // Create the kernel function
            IKernel kernel = createKernel();


            // Get the input values (the two first columns)
            double[][] inputs = sourceMatrix.GetColumns(0, 1);

            // Get only the associated labels (last column)
            int[] outputs = sourceMatrix.GetColumn(2).ToInt32();


            var method = (PrincipalComponentMethod)cbMethod.SelectedValue;

            // Creates the Kernel Principal Component Analysis of the given source
            kpca = new KernelPrincipalComponentAnalysis()
            {
                Kernel = kernel,
                Method = method
            };

            // Whether to center in space
            kpca.Center = cbCenter.Checked;


            var classifier = kpca.Learn(inputs); // Finally, compute the analysis!


            double[][] result = kpca.Transform(inputs);
            double[][] reduced;

            if (kpca.Components.Count >= 2)
            {
                // Perform the transformation of the data using two components 
                kpca.NumberOfOutputs = 2;
                reduced = kpca.Transform(inputs);
            }
            else
            {
                kpca.NumberOfOutputs = 1;
                reduced = kpca.Transform(inputs);
                reduced = reduced.InsertColumn(Vector.Zeros(reduced.GetLength(0)));
            }

            // Create a new plot with the original Z column
            double[][] points = reduced.InsertColumn(sourceMatrix.GetColumn(2));

            // Create output scatter plot
            outputScatterplot.DataSource = points;
            CreateScatterplot(graphMapFeature, points);

            // Create output table
            dgvProjectionResult.DataSource = new ArrayDataView(points, columnNames);
            dgvReversionSource.DataSource = new ArrayDataView(result);


            // Populates components overview with analysis data
            dgvFeatureVectors.DataSource = new ArrayDataView(kpca.ComponentVectors);
            dgvPrincipalComponents.DataSource = kpca.Components;
            cumulativeView.DataSource = kpca.Components;
            distributionView.DataSource = kpca.Components;

            numNeighbor.Maximum = result.Rows();
            numNeighbor.Value = System.Math.Min(10, numNeighbor.Maximum);

            lbStatus.Text = "Good! Feel free to browse the other tabs to see what has been found.";
        }