public void CountC_CountCCorrect()
{
Node node = new Node(0, 0, 0.0, 0.0, "");
Params.inputDataDimension = 3;
node.CountOfSamples = 6;
// cluster 1
ClusterX newClusterX1 = new ClusterX(node);
newClusterX1.Items.Add(new Vector(0, 0));
newClusterX1.Items.Add(new Vector(0, 0));
newClusterX1.Items.Add(new Vector(0, 0));
newClusterX1.Mean = new Vector(new double[] { 1, 2, 3 });
node.ClustersX.Add(newClusterX1);
ClusterPair clusterPair1 = new ClusterPair();
clusterPair1.X = newClusterX1;
newClusterX1.SetClusterPair(clusterPair1);
node.ClusterPairs.Add(clusterPair1);
// cluster 2
ClusterX newClusterX2 = new ClusterX(node);
newClusterX2.Items.Add(new Vector(0, 0));
newClusterX2.Items.Add(new Vector(0, 0));
newClusterX2.Mean = new Vector(new double[] { 3, 3, 4 });
node.ClustersX.Add(newClusterX2);
ClusterPair clusterPair2 = new ClusterPair();
clusterPair2.X = newClusterX2;
newClusterX2.SetClusterPair(clusterPair2);
node.ClusterPairs.Add(clusterPair2);
// cluster 3
ClusterX newClusterX3 = new ClusterX(node);
newClusterX3.Items.Add(new Vector(0, 0));
newClusterX3.Mean = new Vector(new double[] { 9, 6, 7 });
node.ClustersX.Add(newClusterX3);
ClusterPair clusterPair3 = new ClusterPair();
clusterPair3.X = newClusterX3;
newClusterX3.SetClusterPair(clusterPair3);
node.ClusterPairs.Add(clusterPair3);
Vector mean = node.GetCFromClustersX();
Assert.AreEqual(mean.Values[0], 3);
Assert.AreEqual(mean.Values[1], 3);
Assert.AreEqual(mean.Values[2], 1);
}
public void GetCFromClustersX_GetCorrectC()
{
Params.inputDataDimension = 3;
Node node = new Node(0.0, 0.0, 0.0, 0.0, "");
Sample s1 = new Sample(new double[] { 1, 2, 3 }, 1, 0);
Sample s2 = new Sample(new double[] { 2, 3, 4 }, 1, 0);
Sample s3 = new Sample(new double[] { 3, 4, 5 }, 1, 0);
node.ClustersX.Add(new ClusterX(s1, null));
node.ClustersX.Add(new ClusterX(s2, null));
node.ClustersX.Add(new ClusterX(s3, null));
Vector C = node.GetCFromClustersX();
Assert.AreEqual(C.Values[0], 2.0);
Assert.AreEqual(C.Values[1], 3.0);
Assert.AreEqual(C.Values[2], 4.0);
}
