org.openimaj.ml.clustering.kdtree

Class SplitDetectionMode.VARIABLE_MEDIAN

java.lang.Object

org.openimaj.ml.clustering.kdtree.SplitDetectionMode.VARIABLE_MEDIAN

All Implemented Interfaces:

SplitDetectionMode

Enclosing interface:

SplitDetectionMode

public static class SplitDetectionMode.VARIABLE_MEDIAN
extends Object
implements SplitDetectionMode

Find the median, attempt to find a value which keeps clusters together

Author:

Sina Samangooei (ss@ecs.soton.ac.uk)

Nested Class Summary

Nested classes/interfaces inherited from interface org.openimaj.ml.clustering.kdtree.SplitDetectionMode

SplitDetectionMode.MEAN, SplitDetectionMode.MEDIAN, SplitDetectionMode.OPTIMISED, SplitDetectionMode.VARIABLE_MEDIAN

Constructor Summary

Constructors

Constructor and Description
SplitDetectionMode.VARIABLE_MEDIAN() Sets the change tolerance to 0.1 (i.e.
SplitDetectionMode.VARIABLE_MEDIAN(double tol)

Method Summary

Methods

Modifier and Type	Method and Description
double	detect(double[] vec)

Methods inherited from class java.lang.Object

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

Constructor Detail

SplitDetectionMode.VARIABLE_MEDIAN

public SplitDetectionMode.VARIABLE_MEDIAN()

Sets the change tolerance to 0.1 (i.e. if the next value is different by more than value * 0.1, we switch)

SplitDetectionMode.VARIABLE_MEDIAN

public SplitDetectionMode.VARIABLE_MEDIAN(double tol)

Parameters:

tol - if the next value is different by more than value * tol we found a border

Method Detail

detect

public double detect(double[] vec)

Specified by:

detect in interface SplitDetectionMode

Returns:

find the split point