public static void TEST(Action <string> print)
{
Random r = new Random();
List <TestItem> featureData = new List <TestItem>();
for (int i = 0; i < 3000; i++)
{
featureData.Add(new TestItem(r.NextDouble(), r.NextDouble()));
}
for (int i = 0; i < 3000; i++)
{
featureData.Add(new TestItem(r.NextDouble() + 10, r.NextDouble() + 10));
}
for (int i = 0; i < 3000; i++)
{
featureData.Add(new TestItem(r.NextDouble() - 10, r.NextDouble() - 10));
}
for (int i = 0; i < 1000; i++)
{
featureData.Add(new TestItem(r.NextDouble() + 50, r.NextDouble() + 50));
}
Stopwatch st = new Stopwatch();
st.Start();
List <IClusterable> clusters = new DbscanAlgorithm(1, 10).Clustering(featureData);
st.Stop();
print("\r\ntime: " + st.ElapsedMilliseconds + " msec");
print("items count:" + featureData.Count);
print("clusters count: " + clusters.Count);
print("");
foreach (var c in clusters)
{
print(c.Distance(new TestItem(0, 0)) + "");
}
}
private void button1_Click(object sender, EventArgs e)
{
DbscanAlgorithm.TEST(x => Console.WriteLine(x));
}
