public void HugeDivisiveCPU()
{
int nDescriptors = 350000;
int descriptorDimension = 4096;
int[] nClusters = new int[] { 150, 150 };
int[] iterationCounts = new int[] { 10, 10 };
int nDescriptorsDiv5 = nDescriptors / 5;
Descriptor[] descriptors = HelperTestClass.GenerateHierarchicalDescriptors(seed, nDescriptorsDiv5, descriptorDimension);
ClusteringDivisive clustering = new ClusteringDivisive(descriptors);
Stopwatch stopWatch = new Stopwatch();
stopWatch.Start();
clustering.Clusterize(nClusters, iterationCounts, seed);
stopWatch.Stop();
double elapsedSeconds = (stopWatch.ElapsedMilliseconds * 0.001);
double nPerSecond = nDescriptorsDiv5 * 5 * nClusters[0] * nClusters[1] / elapsedSeconds;
Console.WriteLine("Computing time: " + elapsedSeconds + " seconds (" + nPerSecond + " per second).");
HelperTestClass.VisualizeClustering(clustering.Descriptors, clustering.Centroids, windowSize, windowSize);
}
static void Main(string[] args)
{
CultureInfo customCulture = (CultureInfo)System.Threading.Thread.CurrentThread.CurrentCulture.Clone();
customCulture.NumberFormat.NumberDecimalSeparator = ".";
System.Threading.Thread.CurrentThread.CurrentCulture = customCulture;
string descriptorFile = args[0];
string outputFile = args[1];
int iterationCount = int.Parse(args[2]);
int argumentOffset = 3;
int[] seedCounts = new int[args.Length - argumentOffset];
int[] iterationCounts = new int[args.Length - argumentOffset];
for (int i = argumentOffset; i < args.Length; i++)
{
int seedIndex = i - argumentOffset;
seedCounts[seedIndex] = int.Parse(args[i]); // TODO: try-catch
iterationCounts[seedIndex] = iterationCount;
}
int seed = 5334;
Descriptor[] descriptors = LoadArrayDescriptors(descriptorFile);
// debug
//Descriptor[] descriptors = HelperTestClass.GenerateHierarchicalDescriptors(seed, 10000, 2);
//seedCounts = new int[] { 10, 10 };
ClusteringDivisive clustering = new ClusteringDivisive(descriptors);
Console.WriteLine("Launching clusterization.");
Stopwatch stopWatch = new Stopwatch();
stopWatch.Start();
clustering.Clusterize(seedCounts, iterationCounts, seed);
stopWatch.Stop();
Console.WriteLine("Clusterization finished.");
int elapsedSeconds = (int)(stopWatch.ElapsedMilliseconds / 1000);
int hours = (elapsedSeconds / (60 * 60));
int secondsRemainder = (elapsedSeconds % (60 * 60));
int minutes = (secondsRemainder / 60);
int seconds = (secondsRemainder % 60);
Console.WriteLine("Computing time: {0} hours, {1} minutes, {2} seconds.", hours, minutes, seconds);
WriteToTextFile(clustering.Centroids[clustering.Centroids.Length - 1], outputFile);
//int imageSize = 4096;
//HelperTestClass.VisualizeClustering(clustering.Descriptors, clustering.Centroids, imageSize, imageSize);
//HelperTestClass.VisualizeClustering(clustering.Descriptors, clustering.Centroids, imageSize * 2, imageSize * 2);
//HelperTestClass.VisualizeClustering(clustering.Descriptors, clustering.Centroids, imageSize * 4, imageSize * 4);
//HelperTestClass.VisualizeClustering(clustering.Descriptors, clustering.Centroids, imageSize * 8, imageSize * 8);
}
public void TestDescriptorAssignmentDivisive()
{
int[] nClusters = new int[] { 10, 10 };
int[] iterationCounts = new int[] { 10, 10 };
ClusteringDivisive clustering = new ClusteringDivisive(descriptors);
clustering.Clusterize(nClusters, iterationCounts, seed);
HelperTestClass.TestDescriptorAssignment(descriptors.Length, clustering.Centroids[clustering.Centroids.Length - 1]);
}
public void VisualizeHeuristicDivisive3Layer()
{
int[] seedCounts = new int[] { 10, 10, 10 };
int[] iterationCounts = new int[] { 10, 10, 10 };
ClusteringDivisive clustering = new ClusteringDivisive(descriptors);
clustering.Clusterize(seedCounts, iterationCounts, seed);
HelperTestClass.VisualizeClustering(clustering.Descriptors, clustering.Centroids, windowSize, windowSize);
}
