AverageInterclusterDistance 
Average intercluster distance.

AverageIntraclusterDistance 
Average intracluster distance.

BIRCHAbsorptionCriterion 
BIRCH absorption criterion.

BIRCHDistance 
Distance function for BIRCH clustering.

BIRCHKMeansPlusPlus 
KMeans++like initialization for BIRCH kmeans; this cannot be used to
initialize regular kmeans, use KMeansPlusPlus instead.

BIRCHLeafClustering 
BIRCHbased clustering algorithm that simply treats the leafs of the CFTree
as clusters.

BIRCHLloydKMeans 
BIRCHbased clustering algorithm that simply treats the leafs of the CFTree
as clusters.

CentroidEuclideanDistance 
Centroid Euclidean distance.

CentroidManhattanDistance 
Centroid Manhattan Distance

CFTree 
Partial implementation of the CFTree as used by BIRCH.

CFTree.Factory 
CFTree Factory.

CFTree.LeafIterator 
Iterator over leaf nodes.

CFTree.TreeNode 
Inner node.

ClusteringFeature 
Clustering Feature of BIRCH

DiameterCriterion 
Average Radius (R) criterion.

EuclideanDistanceCriterion 
Distance criterion.

RadiusCriterion 
Average Radius (R) criterion.

VarianceIncreaseDistance 
Variance increase distance.
