public void SetUp()
{
_currentTime = 0;
_pZero = new EuclideanPoint(0, 0, _currentTime);
_p500 = new EuclideanPoint(500, 500, _currentTime);
_singletonClusterZero = new [] { _pZero };
_singletonCluster500 = new [] { _p500 };
_fullCluster = new[] { _pZero, _p500 };
_simFunc = (x, y) =>
(float)Math.Sqrt(Math.Pow(x.X - y.X, 2) + Math.Pow(x.Y - y.Y, 2));
}
public void ElementWiseSum_SimplePointList_SinglePoint()
{
var arr = new[]
{
new EuclideanPoint(1, 2, 0),
new EuclideanPoint(3, 4, 0)
};
var expected = new EuclideanPoint(4, 6, 0);
var actual = arr.ElementWiseSum();
Assert.That(actual.X, Is.EqualTo(expected.X));
Assert.That(actual.Y, Is.EqualTo(expected.Y));
}
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.");
}
