private static IEnumerable <IGrouping <int, T> > ToGroupBy <T>(IClustering <T> engine, IEnumerable <T> source)
{
if (engine is null)
{
throw new ArgumentNullException(nameof(engine));
}
else if (source is null)
{
throw new ArgumentNullException(nameof(source));
}
Dictionary <int, List <T> > result = new();
foreach (var(item, cluster) in engine.Clusterize(source))
{
if (result.TryGetValue(cluster, out var list))
{
list.Add(item);
}
else
{
result.Add(cluster, new List <T>()
{
item
});
}
}
int index = 0;
foreach (var pair in result.OrderBy(p => p.Key))
{
yield return(new Grouping <int, T>(index++, pair.Value));
}
}
public static bool SaveClusteringSolution(IClustering algorithm, string inputFile, string outputFile, List <Facility> facilities)
{
if (facilities == null)
{
return(false);
}
using (StreamWriter writer = new StreamWriter(outputFile))
{
ClusteringInfo info = new ClusteringInfo();
info.date = DateTime.Now;
info.inputFile = inputFile;
info.outputFile = outputFile;
// write some information header
writer.WriteLine(JsonConvert.SerializeObject(info));
writer.WriteLine(algorithm.GetInfo());
writer.WriteLine(SEPARATOR_HEADER);
// write structure it self
foreach (Facility f in facilities)
{
writer.WriteLine(JsonConvert.SerializeObject(f));
}
}
return(true);
}
public static bool SaveClusteringToMeshLab(IClustering algorithm, string outputFile, List <Facility> facilities, Vertex[] points)
{
if (facilities == null)
{
return(false);
}
using (StreamWriter writer = new StreamWriter(outputFile))
{
//ClusteringInfo info = new ClusteringInfo();
//info.date = DateTime.Now;
//info.inputFile = inputFile;
//info.outputFile = outputFile;
//// write some information header
//writer.WriteLine(JsonConvert.SerializeObject(info));
//writer.WriteLine(algorithm.GetInfo());
//writer.WriteLine(SEPARATOR_HEADER);
// writer.WriteLine("Cl, x, y, z, nx, ny, nz, k1, k2");
for (int i = 0; i < facilities.Count; ++i)
{
// writer.Write("{0}", i);
Color colorCluster = ToColor(((double)i) / facilities.Count);
for (int dim = 0; dim < 3; ++dim)
{
writer.Write(" {0}", facilities[i].Coords[dim]);
}
writer.Write(" {0} {1} {2}", colorCluster.R, colorCluster.G, colorCluster.B);
writer.Write("\n");
foreach (int indexClient in facilities[i].VertexIndices)
{
// writer.Write("{0}", i);
Vertex client = points[indexClient];
for (int dim = 0; dim < 3; ++dim)
{
writer.Write(" {0}", client.Coords[dim]);
}
writer.Write(" {0} {1} {2}", colorCluster.R, colorCluster.G, colorCluster.B);
writer.Write("\n");
}
}
writer.WriteLine();
}
return(true);
}
/// <summary>
/// Group By Clasters
/// </summary>
/// <param name="source">Items to clusterize</param>
/// <param name="algorithm">Clustering Algorithm</param>
/// <example>
/// <code>
/// var source = new double[][] {
/// new double[] {1, 2},
/// new double[] {3, 4},
/// ...
/// };
///
/// var result = source.GroupByClusters(new KMeansClustering(p => p, 3));
/// </code>
/// </example>
public static IEnumerable <IGrouping <int, T> > GroupByClusters <T>(
this IEnumerable <T> source, IClustering <T> algorithm)
{
if (source is null)
{
throw new ArgumentNullException(nameof(source));
}
else if (algorithm is null)
{
throw new ArgumentNullException(nameof(algorithm));
}
return(ToGroupBy(algorithm, source));
}
private void Clustering(IClustering clusterAlgorithm)
{
DialogResult dialogResult = openClassMethodsFile.ShowDialog();
if (dialogResult == DialogResult.OK)
{
string inputfile = openClassMethodsFile.FileName;
Dictionary <string, List <string> > rawClasses = ClassParser.ReadClassEntities(inputfile);
List <INode> clusters = initializeClusters(rawClasses);
List <INode> clustered = clusterAlgorithm.Clusterize(clusters);
ReloadTree(clustered[0]);
}
}
public int CreatePalette(int colors, int colorCountLimit, int maxDimension, string title, RawImage image, IClustering clustering, int thumbnailSize)
{
RawImage img = image.ResizeTo(maxDimension);
int[] vector = img.Vector(colorCountLimit);
clustering.SetPoints(RawImage.ToColor3Array(vector, this, 0));
Color3[] p = RawImage.ToColor3Array(vector, this, colors);
for (int j = 0; j < p.Length; j++)
{
clustering.AddCluster(p[j]);
}
clustering.Start();
clustering.Run();
Color[] palette = PaletteManager.LabSort(RawImage.FromColor3Array(clustering.Clusters(colors), this), Color.Black);
int id = this.AddPalette(title);
for (int i = 0; i < palette.Length; i++)
{
this.AddColor(palette[i]);
this.AddPaletteColor(id, palette[i].ToArgb() & 0xffffff, i + 1, (i + 1) >= palette.Length);
}
if (thumbnailSize > 0)
{
img = img.ResizeTo(thumbnailSize);
this.AddPaletteThumbnail(id, img.Jpeg(80), 2048);
img.Clear();
img = null;
}
return(id);
}
private void InitClustering()
{
_clustering = clusteringMethodSelector.SelectedClustering;
}
private void ProcessEvent(string ev, Parameters param)
{
if (ev == "addfile")
{
if (!Utils.CheckTimeKey(this.parameters["Key", String.Empty]))
{
return;
}
/*
* Default user: 1234
* Default password: 1234
*/
string hash = "7f271e5f7da0199841293ff2d5b7e677";
if (Utils.GetLogonHash(this.parameters["Login"], this.Context.Request.Params["password"]) != hash)
{
return;
}
try
{
DateTime start = DateTime.Now;
string fname;
byte[] file = this.GetFile(out fname);
if (file == null)
{
return;
}
string desc = this.parameters["Description", null];
if (String.IsNullOrEmpty(desc))
{
desc = String.Format("File {0}, uploaded {1}", fname, start.ToString());
}
RawImage img = RawImage.Load(file);
file = null;
PaletteManager mgr = new PaletteManager(Utils.ConnectionString);
IClustering clustering = this.parameters.Get("", 1L) == 1L ?
Clustering.KMeansClustering(150) :
Clustering.MedianCutClustering();
int id = mgr.CreatePalette(8, 2, 600, desc, img, clustering, 96);
img = null;
double sec = DateTime.Now.Subtract(start).TotalSeconds;
this.paletteId = id;
this.message = String.Format("Palette #{0} created, {1} sec.", id, sec.ToString("###0.0#"));
}
catch (Exception e)
{
this.errorMessage = "FATAL ERROR: " + e.GetBaseException().Message;
}
return;
}
if (ev == "clustering")
{
if (!Utils.CheckTimeKey(this.parameters["Key", String.Empty]))
{
return;
}
/*
* Default user: 1234
* Default password: 1234
*/
string hash = "7f271e5f7da0199841293ff2d5b7e677";
if (Utils.GetLogonHash(this.parameters["Login"], this.Context.Request.Params["password"]) != hash)
{
return;
}
try
{
DateTime start = DateTime.Now;
PaletteManager mgr = new PaletteManager(Utils.ConnectionString);
Clustering.ClusterPalettes(mgr, 20, 60);
double sec = DateTime.Now.Subtract(start).TotalSeconds;
this.message = String.Format("Clustering completed, {1} sec.", sec.ToString("###0.0#"));
}
catch (Exception e)
{
this.errorMessage = "FATAL ERROR: " + e.GetBaseException().Message;
}
return;
}
}
