private static void TimelessDenStreamMCTest()
{
var filePath = $"{Environment.CurrentDirectory}/Data/Synthesis/DataSteamGenerator/data.synthetic.json";
var dataStream = ContinuousDataReader.ReadSyntheticEuclidean(filePath);
var denStream = new TimelessDenStream <EuclideanPoint>(
Similarity.EuclideanDistance,
Similarity.EuclideanDistance);
foreach (var p in dataStream)
{
denStream.Add(p);
}
denStream.Cluster();
// foreach (var p in dataStream.TakeLast(110))
// {
// denStream.Remove(p);
// }
//
// denStream.Cluster();
var mcs = denStream.MicroClusters;
var mcPoints = new List <EuclideanPoint>();
mcs.ForEach(mc => mcPoints.AddRange(mc.Points));
File.WriteAllText($"{Environment.CurrentDirectory}/Data/Synthesis/ClusterVisualization/mcs.json", JsonConvert.SerializeObject(mcs));
File.WriteAllText($"{Environment.CurrentDirectory}/Data/Synthesis/ClusterVisualization/mcPoints.json", JsonConvert.SerializeObject(mcPoints));
}
private static void TimelessDenStreamTest()
{
var filePath = $"{Environment.CurrentDirectory}/Data/Synthesis/DataSteamGenerator/data.synthetic.json";
var dataStream = ContinuousDataReader.ReadSyntheticEuclidean(filePath);
var denStream = new TimelessDenStream <EuclideanPoint>(
Similarity.EuclideanDistance,
Similarity.EuclideanDistance);
var terminate = denStream.MaintainClusterMap();
foreach (var p in dataStream)
{
denStream.Add(p);
}
Thread.Sleep(2000);
foreach (var p in dataStream.TakeLast(110))
{
denStream.Remove(p);
}
var clusters = denStream.Cluster();
terminate();
Console.WriteLine(clusters.Pretty());
Console.WriteLine(clusters.Length);
}
private static void DbScanSyntheticTest()
{
var filePath = $"{Environment.CurrentDirectory}/Data/Synthesis/DataSteamGenerator/data.synthetic.json";
var dataStream = ContinuousDataReader.ReadSyntheticEuclidean(filePath);
Func <EuclideanPoint, EuclideanPoint, float> simFunc = (x, y) =>
(float)Math.Sqrt(Math.Pow(x.X - y.X, 2) + Math.Pow(x.Y - y.Y, 2));
Func <CoreMicroCluster <EuclideanPoint>, CoreMicroCluster <EuclideanPoint>, int, float> cmcSimFunc = (u, v, t) =>
(float)Math.Sqrt(Math.Pow(u.Center(t).X - v.Center(t).X, 2) +
Math.Pow(u.Center(t).Y - v.Center(t).Y, 2));
var denStream = new DenStream <EuclideanPoint>(simFunc, cmcSimFunc);
//denStream.SetDataStream(dataStream);
var terminate = denStream.MaintainClusterMap();
Thread.Sleep(2000);
var clusters = denStream.Cluster();
var clusterPoints = new List <dynamic>();
foreach (var(i, cluster) in clusters.Enumerate())
{
foreach (var point in cluster)
{
clusterPoints.Add(new { x = point.X, y = point.Y, c = i });
}
}
Console.WriteLine($"Waiting...");
Thread.Sleep(2000);
Console.WriteLine($"Terminating MaintainClusterMap");
terminate();
}
private static void DenStreamAsyncTest()
{
var filePath = $"{Environment.CurrentDirectory}/Data/Synthesis/DataSteamGenerator/data.synthetic.json";
var dataStream = ContinuousDataReader.ReadSyntheticEuclidean(filePath);
Func <EuclideanPoint, EuclideanPoint, float> simFunc = (x, y) =>
(float)Math.Sqrt(Math.Pow(x.X - y.X, 2) + Math.Pow(x.Y - y.Y, 2));
Func <CoreMicroCluster <EuclideanPoint>, CoreMicroCluster <EuclideanPoint>, int, float> cmcSimFunc = (u, v, t) =>
(float)Math.Sqrt(Math.Pow(u.Center(t).X - v.Center(t).X, 2) +
Math.Pow(u.Center(t).Y - v.Center(t).Y, 2));
var denStream = new DenStream <EuclideanPoint>(simFunc, cmcSimFunc);
denStream.AddToDataStream(dataStream);
var terminate = denStream.MaintainClusterMap();
foreach (var i in 1000.Range())
{
try
{
Thread.Sleep(5);
var clusters = denStream.Cluster();
Console.WriteLine($"{clusters.Length} clusters.");
}
catch (EnvueArgumentException e)
{
Console.WriteLine($"{i} threw exception.");
}
}
Console.WriteLine($"Terminating MaintainClusterMap");
terminate();
}
private static void DbScanTest()
{
var filePath = $"{Environment.CurrentDirectory}/Data/Synthesis/DataSteamGenerator/data.synthetic.json";
var dataStream = ContinuousDataReader.ReadSyntheticEuclidean(filePath);
var denStream = new TimelessDenStream <EuclideanPoint>(
Similarity.EuclideanDistance,
Similarity.EuclideanDistance);
foreach (var p in dataStream)
{
denStream.Add(p);
}
var scClustersAll = new List <dynamic>();
var clusters = denStream.Cluster();
var numClusters = 0;
foreach (var cluster in clusters)
{
var k = numClusters;
scClustersAll.AddRange(cluster.Select(p => new { x = p.X, y = p.Y, c = k }));
numClusters++;
}
File.WriteAllText(
$"{Environment.CurrentDirectory}/Data/Synthesis/ClusterVisualization/dbscanVisu/dbscan.json",
JsonConvert.SerializeObject(scClustersAll));
}
public ActionResult Test()
{
var filePath = $"{Directory.GetCurrentDirectory()}/Data/data.synthetic.json";
var dataStream = ContinuousDataReader.ReadSyntheticEuclidean(filePath);
Func <EuclideanPoint, EuclideanPoint, float> simFunc = (x, y) =>
(float)Math.Sqrt(Math.Pow(x.X - y.X, 2) + Math.Pow(x.Y - y.Y, 2));
Func <CoreMicroCluster <EuclideanPoint>, CoreMicroCluster <EuclideanPoint>, int, float> cmcSimFunc = (u, v, t) =>
(float)Math.Sqrt(Math.Pow(u.Center(t).X - v.Center(t).X, 2) +
Math.Pow(u.Center(t).Y - v.Center(t).Y, 2));
var denStream = new DenStream <EuclideanPoint>(simFunc, cmcSimFunc);
denStream.AddToDataStream(dataStream);
var terminate = denStream.MaintainClusterMap();
Thread.Sleep(5000);
var clusters = denStream.Cluster();
var clusterPoints = new List <dynamic>();
foreach (var(i, cluster) in clusters.Enumerate())
{
foreach (var point in cluster)
{
clusterPoints.Add(new { x = point.X, y = point.Y, c = i });
}
}
Console.WriteLine($"Waiting...");
Thread.Sleep(2000);
Console.WriteLine($"Terminating MaintainClusterMap");
terminate();
return(Ok(JsonConvert.SerializeObject(clusters)));
}
private static void DenStreamSyntheticTest()
{
var filePath = $"{Environment.CurrentDirectory}/Data/Synthesis/DataSteamGenerator/data.synthetic.json";
var dataStream = ContinuousDataReader.ReadSyntheticEuclidean(filePath);
Func <EuclideanPoint, EuclideanPoint, float> simFunc = (x, y) =>
(float)Math.Sqrt(Math.Pow(x.X - y.X, 2) + Math.Pow(x.Y - y.Y, 2));
Func <CoreMicroCluster <EuclideanPoint>, CoreMicroCluster <EuclideanPoint>, int, float> cmcSimFunc = (u, v, t) =>
(float)Math.Sqrt(Math.Pow(u.Center(t).X - v.Center(t).X, 2) +
Math.Pow(u.Center(t).Y - v.Center(t).Y, 2));
var denStream = new DenStream <EuclideanPoint>(simFunc, cmcSimFunc);
denStream.AddToDataStream(dataStream);
denStream.MaintainClusterMap();
var pcmcs = new List <EuclideanPoint>();
var ocmcs = new List <EuclideanPoint>();
var pcmcPoints = new List <EuclideanPoint>();
var ocmcPoints = new List <EuclideanPoint>();
foreach (var pcmc in denStream.PotentialCoreMicroClusters)
{
var _pcmc = pcmc as CoreMicroCluster <EuclideanPoint>;
var p = new EuclideanPoint(_pcmc.Center(denStream.CurrentTime).X, _pcmc.Center(denStream.CurrentTime).Y,
(int)_pcmc.Radius(denStream.CurrentTime));
p.SetRadius(_pcmc.Radius(denStream.CurrentTime));
pcmcs.Add(p);
}
foreach (var ocmc in denStream.OutlierCoreMicroClusters)
{
var _ocmc = ocmc as CoreMicroCluster <EuclideanPoint>;
var p = new EuclideanPoint(_ocmc.Center(denStream.CurrentTime).X, _ocmc.Center(denStream.CurrentTime).Y,
(int)_ocmc.Radius(denStream.CurrentTime));
p.SetRadius(_ocmc.Radius(denStream.CurrentTime));
ocmcs.Add(p);
}
foreach (var pcmc in denStream.PotentialCoreMicroClusters)
{
pcmc.Points.ForEach(p =>
{
var ep = new EuclideanPoint(p.X, p.Y, 2);
ep.SetRadius(2);
pcmcPoints.Add(ep);
});
}
foreach (var ocmc in denStream.OutlierCoreMicroClusters)
{
ocmc.Points.ForEach(p =>
{
var ep = new EuclideanPoint(p.X, p.Y, 2);
ep.SetRadius(2);
ocmcPoints.Add(ep);
});
}
File.WriteAllText($"{Environment.CurrentDirectory}/Data/Synthesis/ClusterVisualization/pcmcs.json", JsonConvert.SerializeObject(pcmcs));
File.WriteAllText($"{Environment.CurrentDirectory}/Data/Synthesis/ClusterVisualization/ocmcs.json", JsonConvert.SerializeObject(ocmcs));
File.WriteAllText($"{Environment.CurrentDirectory}/Data/Synthesis/ClusterVisualization/pcmcPoints.json", JsonConvert.SerializeObject(pcmcPoints));
File.WriteAllText($"{Environment.CurrentDirectory}/Data/Synthesis/ClusterVisualization/ocmcPoints.json", JsonConvert.SerializeObject(ocmcPoints));
Console.WriteLine($"Wrote {pcmcs.Count} PCMCs and {ocmcs.Count} OCMCs to disk.");
}
