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 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 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 GetClusters()
{
try
{
var eventClusters = new List <Streamer[]>();
// Cluster on geographical positions
var geoClusters = _denStream.Cluster();
// Cluster on the stream descriptions
foreach (var geoCluster in geoClusters)
{
if (geoCluster.Length > 10) // Shrinkage clustering requires a proper data set to function
{
eventClusters.AddRange(_shrinkageClustering.Cluster(geoCluster));
}
else
{
eventClusters.Add(geoCluster);
}
}
return(Ok(eventClusters));
}
catch (Exception e)
{
if (_env.IsDevelopment() || TEST_ENV)
{
return(BadRequest(e.Message));
}
return(BadRequest());
}
}
public Streamer[][] GetClusters()
{
var eventClusters = new List <Streamer[]>();
// Cluster on geographical positions
var geoClusters = _denStream.Cluster();
// Cluster on the stream descriptions
foreach (var geoCluster in geoClusters)
{
eventClusters.AddRange(_shrinkageClustering.Cluster(geoCluster));
}
return(eventClusters.ToArray());
}
public void Cluster_SameTwoPoints_OneCluster()
{
// [{"longitude":10.0,"latitude":20.0,"streamDescription":[0.0,1.0,0.0],"id":"Test","timeStamp":0}]
var streamers = new[]
{
new Streamer(10.0f, 20.0f, new [] { 0.0f, 1.0f, 0.0f }, 0, "Test"),
new Streamer(10.0f, 20.0f, new [] { 0.0f, 1.0f, 0.0f }, 0, "Test")
};
DENSTREAM.Add(streamers);
Thread.Sleep(3000);
var clusters = DENSTREAM.Cluster();
Assert.That(clusters, Has.Exactly(1).Items);
}
