Uses of Class
gov.sandia.cognition.math.geometry.KDTree

Packages that use KDTree

Package	Description
gov.sandia.cognition.learning.algorithm.clustering	Provides clustering algorithms.
gov.sandia.cognition.learning.algorithm.nearest	Provides algorithms for Nearest-Neighbor memory-based functions.
gov.sandia.cognition.math.geometry	Provides classes and interfaces for computational geometry.

Uses of KDTree in gov.sandia.cognition.learning.algorithm.clustering

Methods in gov.sandia.cognition.learning.algorithm.clustering that return KDTree

Modifier and Type	Method and Description
KDTree<DataType,java.lang.Double,InputOutputPair<DataType,java.lang.Double>>	DBSCANClusterer.getSpatialIndex() Gets the spatial index.

Methods in gov.sandia.cognition.learning.algorithm.clustering with parameters of type KDTree

Modifier and Type	Method and Description
void	DBSCANClusterer.setCreator(KDTree<DataType,java.lang.Double,InputOutputPair<DataType,java.lang.Double>> spatialIndex) Sets the spatial index.

Uses of KDTree in gov.sandia.cognition.learning.algorithm.nearest

Methods in gov.sandia.cognition.learning.algorithm.nearest that return KDTree

Modifier and Type	Method and Description
KDTree<InputType,OutputType,InputOutputPair<? extends InputType,OutputType>>	KNearestNeighborKDTree.getData() Getter for data
KDTree<InputType,OutputType,InputOutputPair<? extends InputType,OutputType>>	NearestNeighborKDTree.getData() Getter for data

Methods in gov.sandia.cognition.learning.algorithm.nearest with parameters of type KDTree

Modifier and Type	Method and Description
void	KNearestNeighborKDTree.setData(KDTree<InputType,OutputType,InputOutputPair<? extends InputType,OutputType>> data) Setter for data
void	NearestNeighborKDTree.setData(KDTree<InputType,OutputType,InputOutputPair<? extends InputType,OutputType>> data) Setter for data

Constructors in gov.sandia.cognition.learning.algorithm.nearest with parameters of type KDTree

Constructor and Description
KNearestNeighborKDTree(int k, KDTree<InputType,OutputType,InputOutputPair<? extends InputType,OutputType>> data, Metric<? super InputType> distanceFunction, Summarizer<? super OutputType,? extends OutputType> averager) Creates a new instance of KNearestNeighborKDTree
NearestNeighborKDTree(KDTree<InputType,OutputType,InputOutputPair<? extends InputType,OutputType>> data, DivergenceFunction<? super InputType,? super InputType> divergenceFunction) Creates a new instance of NearestNeighborKDTree

Uses of KDTree in gov.sandia.cognition.math.geometry

Fields in gov.sandia.cognition.math.geometry declared as KDTree

Modifier and Type	Field and Description
protected KDTree<VectorType,DataType,PairType>	KDTree.leftChild Left child of this subtree
protected KDTree<VectorType,DataType,PairType>	KDTree.parent Parent of this node of the subtree.
protected KDTree<VectorType,DataType,PairType>	KDTree.rightChild Right child of this subtree.

Methods in gov.sandia.cognition.math.geometry that return KDTree

Modifier and Type	Method and Description
KDTree<VectorType,DataType,PairType>	KDTree.clone()
static <VectorType extends Vectorizable,DataType,PairType extends Pair<? extends VectorType,DataType>> KDTree<VectorType,DataType,PairType>	KDTree.createBalanced(java.util.Collection<? extends PairType> points) Creates a balanced KDTree based on the given collection of Pairs.
KDTree<VectorType,DataType,PairType>	KDTree.reblanace() Rebalances the KDTree.

Constructors in gov.sandia.cognition.math.geometry with parameters of type KDTree

Constructor and Description
InOrderKDTreeIterator(KDTree<VectorType,DataType,PairType> node) Creates a new instance of InOrderKDTreeIterator
KDTree(java.util.ArrayList<? extends PairType> points, KDTree.PairFirstVectorizableIndexComparator comparator, int dimensionality, KDTree<VectorType,DataType,PairType> parent) Creates a balanced KDTree subtree for recursion purposes from the given ArrayList of points.
KDTree(PairType value, KDTree.PairFirstVectorizableIndexComparator comparator, KDTree<VectorType,DataType,PairType> parent) Creates a KDTree subtree for recursion purposes.