public void CountMeanOfNode_CountCorrectMean()
{
Params.inputDataDimension = 3;
Node node = new Node(1, 1, 0.0, 0.0, "");
// cluster 1
ClusterX newClusterX1 = new ClusterX(node);
newClusterX1.Items.Add(new Vector(new double[] { 1, 2, 3 }, new double[] { 1, -2, 3 }));
newClusterX1.Items.Add(new Vector(new double[] { 2, 3, 4 }, new double[] { 2, 3, 4 }));
newClusterX1.Items.Add(new Vector(new double[] { 3, 4, 5 }, new double[] { 3, 4, 5 }));
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);
node.CountMeanAndVarianceMDF();
node.CountOfSamples = 4;
node.UpdateMeanAndVarianceMdf(new Vector(new double[] { 4, 5, 6 }, new double[] { 4, 5, 6 }));
node.CountOfSamples = 5;
node.UpdateMeanAndVarianceMdf(new Vector(new double[] { 5, 6, -7 }, new double[] { 5, 6, -7 }));
Assert.AreEqual(node.VarianceMDF[0], 2.5);
Assert.AreEqual(node.VarianceMDF[1], 9.7);
Assert.AreEqual(node.VarianceMDF[2], 27.7);
}
protected void CheckMeshLinkedToSkeleton(FbxMesh origMesh, FbxMesh importMesh)
{
FbxSkin origSkin = origMesh.GetDeformer(0, new FbxStatus()) as FbxSkin;
Assert.IsNotNull(origSkin);
FbxSkin importSkin = origMesh.GetDeformer(0, new FbxStatus()) as FbxSkin;
Assert.IsNotNull(importSkin);
ClusterPair[] clusters = new ClusterPair[3];
for (int i = 0; i < 3; i++)
{
FbxCluster origCluster = origSkin.GetCluster(i);
Assert.IsNotNull(origCluster);
FbxCluster importCluster = importSkin.GetCluster(i);
Assert.IsNotNull(importCluster);
clusters [i] = new ClusterPair(origCluster, importCluster);
}
foreach (var c in clusters)
{
FbxAMatrix origTransformMatrix = null;
FbxAMatrix importTransformMatrix = null;
Assert.AreEqual(c.orig.GetTransformMatrix(origTransformMatrix), c.import.GetTransformMatrix(importTransformMatrix));
Assert.AreEqual(c.orig.GetTransformLinkMatrix(origTransformMatrix), c.import.GetTransformLinkMatrix(importTransformMatrix));
Assert.AreEqual(c.orig.GetLink(), c.import.GetLink());
Assert.AreEqual(c.orig.GetLinkMode(), c.import.GetLinkMode());
Assert.AreEqual(c.orig.GetControlPointIndicesCount(), c.import.GetControlPointIndicesCount());
for (int i = 0; i < c.orig.GetControlPointIndicesCount(); i++)
{
Assert.AreEqual(c.orig.GetControlPointIndexAt(i), c.import.GetControlPointIndexAt(i));
Assert.AreEqual(c.orig.GetControlPointWeightAt(i), c.import.GetControlPointWeightAt(i));
}
}
}
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);
}
protected override bool isFinished(ICollection<Cluster> currentClusters, ClusterPair lowestDistancePair)
{
return desiredClusterCount < 1 || desiredClusterCount >= currentClusters.Count;
}
protected override bool isFinished(ICollection<Cluster> currentClusters, ClusterPair lowestDistancePair)
{
return currentClusters.Count == minCountClustersToCreate || lowestDistancePair.Distance > maximumDistance;
}
