private void BuildTreeView(SharpCluster.Clusters clusters)
{
treeView1.Nodes.Clear();
TreeNode rootNode = treeView1.Nodes.Add("Cluster" + clusters.GetClusters()[0].Id.ToString());
this.AddNodes(clusters.GetClusters()[0].GetSubClusters(), rootNode);
treeView1.ExpandAll();
}
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;
}
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");
}
}