static void Main(string[] args)
{
const int size = 100000;
int dim = 2;
var data = new List <Point>(size);
var rand = new Random();
int x, y;
for (int i = 0; i < size; ++i)
{
x = rand.Next(0, 255);
y = rand.Next(0, 255);
data.Add(new Point(dim, x, y));
}
int k = 64;
var model = new Kmeans(k, dim);
var timer = new Stopwatch();
timer.Start();
var labels = model.Fit(data);
timer.Stop();
TimeSpan timeTaken = timer.Elapsed;
Console.WriteLine($"elapsed time:{ timeTaken.ToString(@"m\:ss\.fff")}");
}
private void run_btn_Click(object sender, EventArgs e)
{
var num_clusters = Int32.Parse(num_cluster_txtbox.Text);
if (kmeans_cb.Checked)
{
var kmeans = new Kmeans(data, num_clusters);
var result = kmeans.Get_clusters();
visualise(data.Points, result);
var path_out = Path.Combine(Path.GetDirectoryName(path_textbox.Text), "kmeans.txt");
writer.write_data(data, result.Clusters, path_out);
}
}
private void run_btn_Click(object sender, EventArgs e)
{
if (data == null)
{
MessageBox.Show("Please select datasets!");
return;
}
if (kmeans_cb.Checked)
{
var num_clusters = Int32.Parse(num_cluster_txtbox.Text);
var kmeans = new Kmeans(data, num_clusters);
var result = kmeans.Get_clusters();
visualise(data.Points, result);
var path_out = Path.Combine(Path.GetDirectoryName(path_textbox.Text), "kmeans.txt");
writer.write_data(data, result.Clusters, path_out);
}
if (DBSan_cb.Checked)
{
if (EpsValue_textBox.Text == "")
{
MessageBox.Show("Please input eps and minpts!");
return;
}
if (enterMin_textBox.Text == "")
{
MessageBox.Show("Please input eps and minpts!");
return;
}
var f_Eps = double.Parse(EpsValue_textBox.Text);
var f_minPts = Int32.Parse(enterMin_textBox.Text);
var dbscan = new DBSCAN(data, f_Eps, f_minPts);
var result = dbscan.Get_clusters();
//visualise(data.Points, result);
// var path_out = Path.Combine(Path.GetDirectoryName(path_textbox.Text), "kmeans.txt");
// writer.write_data(data, result.Clusters, path_out);
}
}
