public void InheritanceCompleteTest1()
{
SingleLinkage singleLinkage = new SingleLinkage();
int inheritance = singleLinkage.TestInheritance();
Assert.AreEqual(inheritance, -1);
}
public void SingleLinkageCluster7()
{
Start test = new Start(@"..\..\..\Data\DistanceSample3D.csv");
List <DataPoint> temp = test.GetDataPoints();
SingleLinkage link = new SingleLinkage(3, temp);
link.Run();
int dataNum = link.GetClusters()[2].GetDataPoints().Count;
Assert.AreEqual(dataNum, 1);
}
public Task <string> GetClusterAnalysisAsync(IReadOnlyCollection <string[]> data)
{
if (data.Count == 0)
{
return(Task.FromException <string>(new ArgumentNullException()));
}
var instance = Utils.ClusterParse(data);
var linkage = new SingleLinkage <DataPoint>(new DataPoint(null, null));
var clusteringAlg = new AgglomerativeClusteringAlgorithm <DataPoint>(linkage);
var clustering = clusteringAlg.GetClustering(instance);
var clustersJson = clustering.GetDendrogramJson(true, Formatting.Indented);
return(Task.FromResult(clustersJson));
}
private void ClusteringWorkerDoWork(object sender, DoWorkEventArgs e)
{
// checks data points
if (this._dataPoints == null || this._dataPoints.Count == 0)
{
return;
}
// selects linkage criterion
ILinkageCriterion <DataPoint> linkage;
var selectedIndex = e.Argument;
switch (selectedIndex)
{
case 1:
linkage = new CompleteLinkage <DataPoint>(this._dissimilarityMetric);
break;
case 2:
linkage = new SingleLinkage <DataPoint>(this._dissimilarityMetric);
break;
case 3:
linkage = new MinimumEnergyLinkage <DataPoint>(this._dissimilarityMetric);
break;
case 4:
linkage = new CentroidLinkage <DataPoint>(this._dissimilarityMetric, DataPoint.GetMedoid);
break;
case 5:
linkage = new WardsMinimumVarianceLinkage <DataPoint>(
this._dissimilarityMetric, DataPoint.GetMedoid);
break;
default:
linkage = new AverageLinkage <DataPoint>(this._dissimilarityMetric);
break;
}
// clusters data-points
var clusteringAlg = new AgglomerativeClusteringAlgorithm <DataPoint>(linkage);
this._clusteringResult = clusteringAlg.GetClustering(this._dataPoints);
}
