private void button19_Click_1(object sender, EventArgs e)
{
int somDim = (int)somWidth.Value;
NetMining.Data.PointSet data = new PointSet(textBox4.Text);
HexagonalSelfOrganizingMap hSOM = new HexagonalSelfOrganizingMap(data, somDim, 0.3);
hSOM.runLargeEpochs(0.2, 1);
hSOM.runLargeEpochs(0.05, 2);
hSOM.runLargeEpochs(0.01, 2);
//hSOM.runLargeEpochs(0.01, 4);
//hSOM.runLargeEpochs(0.005, 6);
//Setup out labels
DelimitedFile f = new DelimitedFile(SOMLabelTextbox.Text);
int labelIndex = Prompt.ShowDialog("Select Label Index", "Label File", 1, f.Data[0].Length) - 1;
String[] labels = f.GetColumn(labelIndex);
//Now build our array of indicies
List <String> labelNames = new List <string>();
int[] labelIndexArr = new int[data.Count];
for (int i = 0; i < data.Count; i++)
{
if (!labelNames.Contains(labels[i]))
{
labelNames.Add(labels[i]);
}
labelIndexArr[i] = labelNames.IndexOf(labels[i]);
}
var bmp = hSOM.GetUMatrix(10, labelNames.Count, labelIndexArr);
bmp[0].Save("test" + somDim.ToString() + ".bmp");
bmp[1].Save("count" + somDim.ToString() + ".bmp");
for (int i = 2; i < bmp.Count; i++)
{
bmp[i].Save("count" + somDim.ToString() + "class_" + (i - 1).ToString() + ".bmp");
}
MessageBox.Show("Done!");
}
private void doSOMMapThreaded()
{
int w = (int)somWidth.Value;
int h = (int)somHeight.Value;
List <int> dim = new List <int>();
dim.Add(w); dim.Add(h);
int numEpochs = (int)numericUpDown5.Value;
double learningRate = (double)numericUpDown6.Value;
String folder = pointSetFile.Substring(0, pointSetFile.LastIndexOf('\\'));
System.IO.Directory.CreateDirectory(folder);
openFileDialog2.InitialDirectory = folder;
String copiedFileName = folder + "/" + pointSetFileShort;
if (!File.Exists(copiedFileName))
{
File.Copy(pointSetFile, copiedFileName);
}
PointSet somPoints = new PointSet(pointSetFile);
HexagonalSelfOrganizingMap algo = new HexagonalSelfOrganizingMap(somPoints, w, learningRate);
algo.runLargeEpochs(0.2, 1);
algo.runLargeEpochs(0.05, 2);
algo.runLargeEpochs(0.01, 2);
String newCluster = folder + "/" + pointSetFileShort + "_som" + w + "x" + h + "_map_Epoch" + numEpochs + "_";
var bmp = algo.GetUMatrix(10);
bmp[0].Save(newCluster + ".bmp");
bmp[1].Save(newCluster + "count" + ".bmp");
MessageBox.Show("Complete!");
}