private void LoadFile()
{
OpenFileDialog dlg = new OpenFileDialog();
dlg.Filter = "CSV files (*.csv)|*.csv|TXT files (*.txt)|*.txt";
if (dlg.ShowDialog() == true)
{
clusterData = new ClusterData();
ClusterDataReader dr = ClusterDataReaderFactory.GetClusterDataReader(dlg.FileName, clusterData);
if (dr == null)
{
WPFMessageBox.MsgError("Hiba történt a file betöltése során!");
return;
}
TextBlockFileName.Text = dlg.FileName;
GridAllStatistics.DataContext = clusterData;
GridXStatistics.DataContext = clusterData;
GridYStatistics.DataContext = clusterData;
clusterData.NormalizePoints();
PointChart.Data = clusterData;
PointChart.Draw();
}
}
private void ButtonClustering_Click(object sender, RoutedEventArgs e)
{
TextBoxLog.Clear();
try
{
AlgorithmKMeans alg = new AlgorithmKMeans(clusterData, int.Parse(TextBoxNumberOfClusters.Text));
alg.DistanceFunction = GetDistanceFunction();
alg.MaxIterations = int.Parse(TextBoxMaximumIterations.Text);
alg.Iteration += Alg_Iteration;
alg.Run();
PointChart.Data = clusterData;
PointChart.Draw();
DataGridClusterStats.ItemsSource = clusterData.GetClusterStatistics();
}
catch (NullReferenceException)
{
WPFMessageBox.MsgError("Empty dataset, please load a datafile.");
}
catch (InvalidOperationException)
{
WPFMessageBox.MsgError("An empty cluster created. Please run algorithm once more. The value of K is too big?");
}
catch (Exception ex)
{
WPFMessageBox.MsgError("An error occured!", ex);
}
}