private void calculateButton_Click(object sender, EventArgs e) { //Compactness double[,] x = CsvMatrix.Read(xTextBox.Text); double[] compactnessArr = new double[files.Length]; resultTextBox.Text = string.Empty; double[] mseArr = new double[files.Length]; mseResultTextBox.Text = string.Empty; for (int i = 0; i < files.Length; i++) { int[] labels = FileExtension.Readlabels(files[i]); compactnessArr[i] = Metrics.Compactness(x, labels); mseArr[i] = Metrics.MeanSquaredError(x, labels); resultTextBox.Text += compactnessArr[i].ToString() + "\r\n"; mseResultTextBox.Text += mseArr[i].ToString("0.00000000") + "\r\n"; } if (files.Length > 1) { resultTextBox.Text += "Avg:" + compactnessArr.Average().ToString("0.00000000"); mseResultTextBox.Text += "Avg:" + mseArr.Average().ToString("0.00000000"); } Clipboard.SetText(resultTextBox.Text + "\r\n" + mseResultTextBox.Text); //Mean Squared Error }
public void wt_3() { string[] files = new string[] { @"U:\JICWork\kmedoids\length_71\wt\kmedoids_k_3_round_16_labels.csv", @"U:\JICWork\kmedoids\length_71\wt\kmedoids_k_3_round_18_labels.csv", @"U:\JICWork\kmedoids\length_71\wt\kmedoids_k_3_round_63_labels.csv", @"U:\JICWork\kmedoids\length_71\wt\kmedoids_k_3_round_120_labels.csv", @"U:\JICWork\kmedoids\length_71\wt\kmedoids_k_3_round_175_labels.csv" }; string distanceMatrixFile = @"U:\JICWork\rna_distance_matrix_71_wt.txt"; double[,] distanceMatrix = CsvMatrix.Read(distanceMatrixFile); Console.WriteLine("File, Compactness, Mean Squared Error"); foreach (string file in files) { int[] labels = FileExtension.Readlabels(file); Console.Write(file); Console.Write(","); Console.Write(Metrics.CompactnessByDistanceMatrix(distanceMatrix, labels).ToString("0.000000")); Console.Write(","); Console.WriteLine(Metrics.MeanSquaredErrorByDistance(distanceMatrix, labels).ToString("0.000000")); Console.Write("\r\n"); } }
public static Sample[] GetMedoids(string labels_file, string dataset) { string x_file = $"{Config.WorkingFolder}\\cs_datasets\\{dataset}.csv"; double[,] x = CsvMatrix.Read(x_file); int[] y = FileExtension.Readlabels(labels_file); return(Metrics.GetMedoids(x, y)); }
private static double GetCompactnessByReactivity(string labels_file, DatasetCsv dataset) { string x_file = $"{Config.WorkingFolder}\\cs_datasets\\{dataset.XFile}"; double[,] x = CsvMatrix.Read(x_file); int[] y = FileExtension.Readlabels(labels_file); return(Metrics.Compactness(x, y)); }
private static double GetCompactnessByRnaDistance(string labels_file, DatasetCsv dataset) { string d_file = $"{Config.WorkingFolder}\\cs_datasets\\{dataset.XFile}"; double[,] d = CsvMatrix.Read(d_file); int[] y = FileExtension.Readlabels(labels_file); return(Metrics.CompactnessByDistanceMatrix(d, y)); }
public static void GenerateAverageReactivity() { foreach (DegradomeType dType in EnumUtil.GetValues <DegradomeType>()) { double[,] matrix = CsvMatrix.Read($"{Config.WorkingFolder}cs_reactivity_{dType}_50.csv"); double[] average = new double[matrix.GetLength(1)]; double[] sdvArr = new double[matrix.GetLength(1)]; for (int col = 0; col < matrix.GetLength(1); col++) { //float sum = 0; List <double> iCol = new List <double>(); for (int row = 0; row < matrix.GetLength(0); row++) { iCol.Add(matrix[row, col]); //sum += matrix[row, col]; } average[col] = iCol.Average();// sum / matrix.GetLength(0); sdvArr[col] = iCol.StandardDeviation(); } //save file FileExtension.SaveList($"{Config.WorkingFolder}cs_reactivity_avg_{dType}_50.csv", average); FileExtension.SaveList($"{Config.WorkingFolder}cs_reactivity_std_{dType}_50.csv", average); } }