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 static List <Facility> Cluster(string outputFile, double param1, double param2)
{
IClustering fac = new MShift();
// add some properties to particular clustering algorithms
Dictionary <string, object> properties = new Dictionary <string, object>();
properties.Add("boundingBox", BoundingCluster);
properties.Add("PARAM_1", param1);
properties.Add("PARAM_2", param2);
fac.SetProperties(properties);
fac.ComputeClustering(VerticesToCluster);
// save clustering result
List <Facility> facilities = fac.GetFacilities();
// ClusterSolution.SaveClusteringSolution(fac, inputFile, Dialog_SaveCluster.FileName, facilities);
ClusterSolution.SaveClusteringToMeshLab(fac, outputFile, facilities, VerticesToCluster);
return(facilities);
}
private void Menu_ClusterLoad_Click(object sender, EventArgs e)
{
if (Dialog_OpenClusterResult.ShowDialog() == DialogResult.OK)
{
string inputFileVertices;
facilities = ClusterSolution.LoadClusteringSolution(Dialog_OpenClusterResult.FileName, out inputFileVertices);
DataSet vert = Loader.LoadVtx(inputFileVertices, int.MaxValue);
vertices = vert.points;
if (vertices == null)
{
return;
}
foreach (Facility fac in facilities)
{
// set reference to facility
foreach (int i in fac.VertexIndices)
{
vertices[i].Facility = fac;
}
vertices[fac.VertexIndex].IsFacility = true;
}
bBox.Initialize(vertices[0].Dimension);
bBox.AddVertices(vertices);
ScaleVertices();
ShowCalculateClusterConvexHull();
CalculateFacilitiesPosition();
Menu_Cluster.Enabled = true;
showPoints = false;
Graph.Draw();
}
}
private void Main_Cluster_Click(object sender, EventArgs e)
{
//int numberOfClusters = 9;
//Vertex[] extendedVertices = new Vertex[vertices.Length + numberOfClusters];
//for (int i = 0; i < vertices.Length; i++)
//{
// extendedVertices[i] = vertices[i];
//}
//vertices = extendedVertices;
// IClustering fac = new MShift();
// IClustering fac = new KMeans();
// IClustering fac = new CMeans();
IClustering fac = new MShift();
// add some properties to particular clustering algorithms
Dictionary <string, object> properties = new Dictionary <string, object>();
properties.Add("boundingBox", bBoxToCluster);
properties.Add("PARAM_1", double.Parse(TextBox_Param1.Text));
properties.Add("PARAM_2", double.Parse(TextBox_Param2.Text));
// properties.Add("weights", new double[] { 1, 1, 1, 1, 1, 1, 1, 1 });
fac.SetProperties(properties);
// cluster again!
//if ( facilities != null && facilities.Count > 0 )
//{
// Vertex[] ret = new Vertex[facilities.Count];
// int index = -1;
// foreach (Facility f in facilities)
// {
// ret[++index] = new Vertex(vertices[f.VertexIndex].Coords);
// }
// Array.Clear(vertices, 0, vertices.Length);
// vertices = ret;
//}
fac.ComputeClustering(verticesToCluster);
showPoints = false;
// save clustering result
facilities = fac.GetFacilities();
ShowCalculateClusterConvexHull();
CalculateFacilitiesPosition();
Graph.Draw();
if (Dialog_SaveCluster.ShowDialog() == DialogResult.OK)
{
// ClusterSolution.SaveClusteringSolution(fac, inputFile, Dialog_SaveCluster.FileName, facilities);
ClusterSolution.SaveClusteringToMeshLab(fac, Dialog_SaveCluster.FileName, facilities, verticesToCluster);
}
// show debug window
// new Statistics(bBox, fac.GetFacilities(), vertices);
}