org.openimaj.math.statistics.distribution

Class MultidimensionalHistogram

java.lang.Object

org.openimaj.feature.ArrayFeatureVector<double[]>

org.openimaj.feature.DoubleFV

org.openimaj.feature.MultidimensionalDoubleFV

org.openimaj.math.statistics.distribution.MultidimensionalHistogram

All Implemented Interfaces:

Serializable, Cloneable, FeatureVector, Readable, ReadableASCII, ReadableBinary, ReadWriteable, Writeable, WriteableASCII, WriteableBinary, Concatenatable<DoubleFV,DoubleFV>

public class MultidimensionalHistogram
extends MultidimensionalDoubleFV

Simple Histogram based on a MultidimensionalDoubleFV.

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

See Also:

Serialized Form

Field Summary

Fields inherited from class org.openimaj.feature.MultidimensionalDoubleFV

nbins

Fields inherited from class org.openimaj.feature.ArrayFeatureVector

values

Constructor Summary

Constructors

Constructor and Description
MultidimensionalHistogram(int... nbins) Construct a histogram with the given number of bins per dimension.

Method Summary

Modifier and Type	Method and Description
MultidimensionalHistogram	clone()
double	max() Compute the maximum value in the histogram
void	normalise() Normalise to unit length

Methods inherited from class org.openimaj.feature.MultidimensionalDoubleFV

asciiHeader, asDoubleFV, binaryHeader, compare, get, get, getCoordinates, getIndex, getVector, readASCII, readBinary, set, toString, writeASCII, writeBinary

Methods inherited from class org.openimaj.feature.DoubleFV

asDoubleVector, compare, concatenate, concatenate, equals, getAsDouble, hashCode, length, newInstance, normaliseFV, normaliseFV, normaliseFV, normaliseFV, setFromDouble, subvector, subvector

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.openimaj.feature.FeatureVector

asDoubleVector, getAsDouble, length, newInstance, normaliseFV, normaliseFV, normaliseFV, normaliseFV, setFromDouble

Constructor Detail

MultidimensionalHistogram

public MultidimensionalHistogram(int... nbins)

Construct a histogram with the given number of bins per dimension.

Parameters:

nbins - number of bins per dimension

Method Detail

normalise

public void normalise()

Normalise to unit length

max

public double max()

Compute the maximum value in the histogram

Returns:

the maximum value

clone

public MultidimensionalHistogram clone()

Overrides:

clone in class MultidimensionalDoubleFV