Uses of Class
elki.clustering.em.KDTreeEM.KDTree

Packages that use KDTreeEM.KDTree

Package	Description
elki.clustering.em	Expectation-Maximization clustering algorithm for Gaussian Mixture Modeling (GMM).

Uses of KDTreeEM.KDTree in elki.clustering.em

Fields in elki.clustering.em declared as KDTreeEM.KDTree

Modifier and Type	Field	Description
(package private) KDTreeEM.KDTree	KDTreeEM.KDTree.leftChild	Child nodes:
(package private) KDTreeEM.KDTree	KDTreeEM.KDTree.rightChild	Child nodes:

Methods in elki.clustering.em with parameters of type KDTreeEM.KDTree

Modifier and Type	Method	Description
private void	KDTreeEM.calculateModelLimits(KDTreeEM.KDTree node, TextbookMultivariateGaussianModel model, double[] minpnt, double[] maxpnt, double[] ret)	Calculates the model limits inside this node by translating the Gaussian model into a squared function.
private int[]	KDTreeEM.checkStoppingCondition(KDTreeEM.KDTree node, int[] indices)	This methods checks the different stopping conditions given in the paper, thus calculating the Dimensions, that will be considered for child-trees.
private double	KDTreeEM.makeStats(KDTreeEM.KDTree node, int[] indices, WritableDataStore<double[]> probs)	Calculates the statistics on the kd-tree needed for the calculation of the new models