Uses of Class
elki.index.tree.betula.CFNode

Packages that use CFNode

Package	Description
elki.clustering.kmeans.initialization.betula	Initialization methods for BIRCH-based k-means and EM clustering.
elki.index.tree.betula	BETULA clustering by aggregating the data into cluster features.

Uses of CFNode in elki.clustering.kmeans.initialization.betula

Methods in elki.clustering.kmeans.initialization.betula with parameters of type CFNode

Modifier and Type	Method	Description
private AsClusterFeature	CFKPlusPlusTree.chooseNextNode(CFNode<?> current, java.util.List<? extends ClusterFeature> ccs, java.util.Random rnd)	Choose a child of the current node.

Uses of CFNode in elki.index.tree.betula

Fields in elki.index.tree.betula declared as CFNode

Modifier and Type	Field	Description
(package private) CFNode<L>	CFTree.root	Current root node.

Methods in elki.index.tree.betula that return CFNode

Modifier and Type	Method	Description
CFNode<L>	CFTree.getRoot()	Get the trees root node.
private CFNode<L>	CFTree.insert(CFNode<L> node, NumberVector nv, DBIDRef dbid)	Recursive insertion.
private CFNode<L>	CFTree.insert(CFNode<L> node, AsClusterFeature nleaf)	Recursive insertion.
private CFNode<L>	CFTree.split(CFNode<L> node, AsClusterFeature newchild)	Split an overfull node.

Methods in elki.index.tree.betula with parameters of type CFNode

Modifier and Type	Method	Description
private void	CFTree.estimateThreshold(CFNode<L> current, java.util.ArrayList<L> cfs, double[] thresholds)
private L	CFTree.findLeaf(CFNode<L> node, NumberVector nv)	Find the leaf of a cluster, to get the final cluster assignment.
private CFNode<L>	CFTree.insert(CFNode<L> node, NumberVector nv, DBIDRef dbid)	Recursive insertion.
private CFNode<L>	CFTree.insert(CFNode<L> node, AsClusterFeature nleaf)	Recursive insertion.
private CFNode<L>	CFTree.split(CFNode<L> node, AsClusterFeature newchild)	Split an overfull node.

Constructors in elki.index.tree.betula with parameters of type CFNode

Constructor	Description
LeafIterator(CFNode<L> root)	Constructor.