org.openimaj.knn.approximate

Class FloatKDTreeEnsemble

java.lang.Object

org.openimaj.knn.approximate.FloatKDTreeEnsemble

public class FloatKDTreeEnsemble
extends Object

Ensemble of Best-Bin-First KDTrees for float data.

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk), Sina Samangooei (ss@ecs.soton.ac.uk)

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	FloatKDTreeEnsemble.FloatKDTreeNode An internal node of the KDTree

Field Summary

Fields

Modifier and Type	Field and Description
float[][]	pnts The underlying data array
FloatKDTreeEnsemble.FloatKDTreeNode[]	trees The tree roots

Constructor Summary

Constructors

Constructor and Description
FloatKDTreeEnsemble(float[][] pnts) Construct a FloatKDTreeEnsemble with the provided data, using the default of 8 trees.
FloatKDTreeEnsemble(float[][] pnts, int ntrees) Construct a FloatKDTreeEnsemble with the provided data and number of trees.
FloatKDTreeEnsemble(float[][] pnts, int ntrees, int seed) Construct a FloatKDTreeEnsemble with the provided data and number of trees.

Method Summary

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

trees

public final FloatKDTreeEnsemble.FloatKDTreeNode[] trees

The tree roots

pnts

public final float[][] pnts

The underlying data array

Constructor Detail

FloatKDTreeEnsemble

public FloatKDTreeEnsemble(float[][] pnts)

Construct a FloatKDTreeEnsemble with the provided data, using the default of 8 trees.

Parameters:

pnts - the data array

FloatKDTreeEnsemble

public FloatKDTreeEnsemble(float[][] pnts,
                           int ntrees)

Construct a FloatKDTreeEnsemble with the provided data and number of trees.

Parameters:

pnts - the data array

ntrees - the number of KDTrees in the ensemble

FloatKDTreeEnsemble

public FloatKDTreeEnsemble(float[][] pnts,
                           int ntrees,
                           int seed)

Construct a FloatKDTreeEnsemble with the provided data and number of trees.

Parameters:

pnts - the data array

ntrees - the number of KDTrees in the ensemble

seed - the seed for the random number generator used in tree construction