private void Menu_ClusterBatch_Click(object sender, EventArgs e)
{
// string inputFolder = @"D:\\__gDrive\\__PHD\\Input\\Generated\\_Vtx\\Test-Vtx";
string outputFolder = @"D:\\__gDrive\\__PHD\\Input\\Generated\\_Vtx\\Output-CMeans";
string[] inputFolder = new string[] {
"D:\\__gDrive\\__PHD\\Input\\Generated\\_Vtx\\Test-Vtx\\arc50000_1r.vtx",
"D:\\__gDrive\\__PHD\\Input\\Generated\\_Vtx\\Test-Vtx\\clus50000_4r.vtx",
"D:\\__gDrive\\__PHD\\Input\\Generated\\_Vtx\\Test-Vtx\\gaus50000_4.vtx",
"D:\\__gDrive\\__PHD\\Input\\Generated\\_Vtx\\Test-Vtx\\grid50000_0.vtx",
"D:\\__gDrive\\__PHD\\Input\\Generated\\_Vtx\\Test-Vtx\\grid50000_4.vtx",
"D:\\__gDrive\\__PHD\\Input\\Generated\\_Vtx\\Test-Vtx\\Unif50000_0.vtx",
"D:\\__gDrive\\__PHD\\Input\\Generated\\_Vtx\\Test-Vtx\\Unif50000_4.vtx",
"D:\\__gDrive\\__PHD\\Input\\Generated\\_Vtx\\Test-Vtx\\arc50000_0.vtx"
};
//if ( Dialog_InputFolder.ShowDialog() == DialogResult.OK &&
// Dialog_OutputFolder.ShowDialog() == DialogResult.OK )
//{
IClustering algorithm = new CMeans();
foreach (string f in inputFolder)
{
//foreach ( string f in Directory.GetFiles(inputFolder) )
//{
string outputFile = Path.Combine(outputFolder, Path.GetFileNameWithoutExtension(f));
Vertex[] vertices = Loader.LoadVertices(f);
int numberOfClusters = vertices.Length / 100;
BoundingBox boundingBox = new BoundingBox();
boundingBox.Initialize(vertices[0].Dimension);
boundingBox.AddVertices(vertices);
Dictionary <string, object> properties = new Dictionary <string, object>();
properties.Add("boundingBox", boundingBox);
properties.Add("numberOfClusters", numberOfClusters);
properties.Add("treshold", 0.5);
Array.Resize <Vertex>(ref vertices, vertices.Length + numberOfClusters);
algorithm.SetProperties(properties);
algorithm.ComputeClustering(vertices);
List <Facility> fac = algorithm.GetFacilities();
ClusterSolution.SaveClusteringSolution(algorithm, f, outputFile, fac);
}
//}
MessageBox.Show("Batch clustering is done!", "Clustering", MessageBoxButtons.OK, MessageBoxIcon.Information);
}
public CMeansIterator(Vertex[] vertices, BoundingBox box)
: base(vertices, box)
{
this.algorithm = new CMeans();
originalVertices = (Vertex[])vertices.Clone();
// add some properties to particular clustering algorithms
properties = new Dictionary <string, object>();
properties.Add("boundingBox", box);
// TODO: here should start the alchemy -> investigate where start with number of clusters and threshold
properties.Add("numberOfClusters", 10);
properties.Add("treshold", 0.0);
algorithm.SetProperties(properties);
}
