ClusterDistance: Double;
The ClusterDistance property returns distance between clusters at the moment of grouping.
Sub Main;
Var
hc: SmHierarchicalClusterAnalysis;
Obj: ISlSeries;
x1: Array Of Double;
Dist: ISlDistance;
res, i: Integer;
D: Double;
ClsOrder: IClustersCompositionOrder;
ClOrder: IClustersCompositionOrderItem;
Begin
hc := New SmHierarchicalClusterAnalysis.Create;
x1 := New Double[3];
//add characteristics, in this case 5 objects with 3 characteristics
x1[0] := 1; x1[1] := 1; x1[2] := 1;
Obj := hc.Objects;
Obj.Add.Value := x1;
x1[0] := 2; x1[1] := 3; x1[2] := 2;
Obj.Add.Value := x1;
x1[0] := 3; x1[1] := 6; x1[2] := 3;
Obj.Add.Value := x1;
x1[0] := 4; x1[1] := 8; x1[2] := 10;
Obj.Add.Value := x1;
x1[0] := 5; x1[1] := 8; x1[2] := 0;
Obj.Add.Value := x1;
hc.ClusterLink := ClusterLinkType.Centroid;
hc.ClusterCount := 2;
Dist := hc.Distance;
Dist.Type := ObjectDistanceType.EuclideanSqr;
Dist.Standartization := StandartizationType.ScaleStd;
res := hc.Execute;
If res <> 0 Then
Debug.WriteLine(hc.Errors);
Else
Debug.WriteLine("Sequence of cluster composition");
ClsOrder := hc.ClustersCompositionOrder;
Debug.WriteLine("Bottom cluster Top cluster Distance");
For i := 0 To ClsOrder.Count - 1 Do
ClOrder := ClsOrder.Item(i);
d := ClOrder.IndexLowerCluster;
Debug.Write(d.ToString + ", ");
d := ClOrder.IndexUpperCluster;
Debug.Write(d.ToString + ", ");
d := ClOrder.ClusterDistance;
Debug.WriteLine(d.ToString);
End For;
End If;
End Sub Main;
After executing the example the console window displays sequence of cluster composition and distance between the cluster at the moment of grouping:
Module execution started
Sequence of cluster composition
Bottom cluster. Top cluster. Distance
1, 2, 0.87606540153654211
3, 5, 2.5856195416639305
3, 4, 4.705003611530632
1, 3, 5.9437403783716745
Module execution finished
See also: