private void btnGenerateDistanceMatrixFile_Click(object sender, EventArgs e) { Cursor.Current = Cursors.WaitCursor; btnGenerateDistanceMatrixFile.Enabled = false; HashSet <double[]> _dataSet; if (txtFilePath.Text.Length > 0) { if (dataSet == null) { _dataSet = this.GenerateDataSet(txtFilePath.Text); } else { _dataSet = dataSet; } SharpCluster.Agnes agnes = new SharpCluster.Agnes(_dataSet); agnes.CreateCSVMatrixFile(txtFilePath.Text + "Matrix.csv"); } else { MessageBox.Show("Data set file not found"); } btnGenerateDistanceMatrixFile.Enabled = true; }
private void btnStartAgnes_Click(object sender, EventArgs e) { Cursor.Current = Cursors.WaitCursor; HashSet <double[]> _dataSet; if (txtFilePath.Text.Length > 0) { if (txtAgnesNumberOfGroups.Text.Trim().Length > 0 && Convert.ToInt32(txtAgnesNumberOfGroups.Text) > 0) { if (Convert.ToInt32(txtAgnesNumberOfGroups.Text) > 1) { if (dataSet == null) { _dataSet = this.GenerateDataSet(txtFilePath.Text); } else { _dataSet = dataSet; } SharpCluster.Agnes agnes = new SharpCluster.Agnes(_dataSet, hasClass); SharpCluster.Clusters clusters = agnes.ExecuteClustering((cboAgnesStrategy.SelectedItem as ComboboxItem).Value, Convert.ToInt32(txtAgnesNumberOfGroups.Text)); //Converte clusters (hierarquico) para clusters (particional) como o k-means, para utilizar Dunn e Davies-Bouldin SharpCluster.Cluster[] flatClusters = agnes.BuildFlatClustersFromHierarchicalClustering(clusters, clusters.GetClusters().Count()); ShowAgnesChart(flatClusters); agnesClusters = flatClusters; } else { MessageBox.Show("Number of cluster must be more than 1."); } } else { MessageBox.Show("Enter a number o clusters."); } } else { MessageBox.Show("Go to Preprocess and select a file!", "Data set file not found"); } }
private void btnExecuteClustering_Click(object sender, EventArgs e) { Cursor.Current = Cursors.WaitCursor; btnExecuteClustering.Enabled = false; lines.Clear(); // limpa as linhas HashSet <double[]> _dataSet; if (txtFilePath.Text.Length > 0) { if (dataSet == null) { _dataSet = this.GenerateDataSet(txtFilePath.Text); } else { _dataSet = dataSet; } DateTime start = DateTime.Now; lblStartTime.Text = start.ToString(); SharpCluster.Agnes agnes = new SharpCluster.Agnes(_dataSet, hasClass); SharpCluster.Clusters clusters = agnes.ExecuteClustering((cboStrategy.SelectedItem as ComboboxItem).Value, 1); DateTime end = DateTime.Now; lblFinishTime.Text = end.ToString(); TimeSpan span = end - start; lblTimeElapsed.Text = span.TotalSeconds.ToString(); this.BuildTreeView(clusters); this.FillTextBox(clusters.GetClusters()); hierarchicalClusters = clusters; } else { MessageBox.Show("Go to Preprocess and select a file!", "Data set file not found"); } btnExecuteClustering.Enabled = true; }