private void clusterButton_Click(object sender, RoutedEventArgs e)
{
int nElements = 100;
List <double> elements = new List <double>();
Troschuetz.Random.Distributions.Continuous.ContinuousUniformDistribution cud = new Troschuetz.Random.Distributions.Continuous.ContinuousUniformDistribution(0, 1);
for (int i = 0; i < nElements; i++)
{
elements.Add(cud.NextDouble());
}
Ball <double> .Metric metric = (double x, double y) => Math.Abs(x - y);
Tuple <List <Ball <double> >, bool, int> tuple = Ball <double> .Cluster2FixedNumberOfBalls(elements, metric, 10, 10000);
List <Ball <double> > balls = tuple.Item1;
using (System.IO.StreamWriter writer = System.IO.File.CreateText("testClusterer.txt"))
{
foreach (Ball <double> ball in balls)
{
foreach (double element in ball.Elements)
{
writer.WriteLine(element + "\t" + ball.Center + "\t" + ball.Radius + "\t" + Math.Abs(element - ball.Center));
}
}
}
MessageBox.Text += "Cluster done.\n";
MessageBox.Text += "Converged = " + tuple.Item2 + "\n";
MessageBox.Text += "n Steps taken = " + tuple.Item3 + "\n";
}
public MCMC()
{
mt = new Troschuetz.Random.Generators.MT19937Generator();
uRand = new Troschuetz.Random.Distributions.Continuous.ContinuousUniformDistribution(mt, 0, 1);
OutputDirectory = Directory.GetCurrentDirectory();
}
public AuxiliaryChain()
{
mt = new Troschuetz.Random.Generators.MT19937Generator();
uRand = new Troschuetz.Random.Distributions.Continuous.ContinuousUniformDistribution(mt, 0, 1);
}
static PMF()
{
generator = new Troschuetz.Random.Generators.MT19937Generator();
uniGen = new Troschuetz.Random.Distributions.Continuous.ContinuousUniformDistribution(generator);
}
public Annealer()
{
mt = new Troschuetz.Random.Generators.MT19937Generator();
uRand = new Troschuetz.Random.Distributions.Continuous.ContinuousUniformDistribution(mt);
zRand = new Troschuetz.Random.Distributions.Continuous.NormalDistribution(mt);
}
