Uses of Package
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch

Packages that use de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch	BIRCH clustering.

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch used by de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch

Class and Description
AverageInterclusterDistance Average intercluster distance.
AverageIntraclusterDistance Average intracluster distance.
BIRCHAbsorptionCriterion BIRCH absorption criterion.
BIRCHDistance Distance function for BIRCH clustering.
BIRCHLeafClustering BIRCH-based clustering algorithm that simply treats the leafs of the CFTree as clusters.
CentroidEuclideanDistance Centroid Euclidean distance.
CentroidManhattanDistance Centroid Manhattan Distance Reference: Data Clustering for Very Large Datasets Plus Applications T.
CFTree Partial implementation of the CFTree as used by BIRCH.
CFTree.Factory CF-Tree 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.