org.openimaj.math.statistics.distribution

Class Histogram

java.lang.Object

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

org.openimaj.feature.DoubleFV

org.openimaj.math.statistics.distribution.Histogram

All Implemented Interfaces:

Serializable, Cloneable, FeatureVector, Readable, ReadableASCII, ReadableBinary, ReadWriteable, Writeable, WriteableASCII, WriteableBinary

public class Histogram
extends DoubleFV

Simple Histogram based on a DoubleFV.

Author:

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

See Also:

Serialized Form

Field Summary

Fields inherited from class org.openimaj.feature.ArrayFeatureVector

values

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	Histogram(double[] data)
	Histogram(int nbins) Construct a histogram with the given number of bins.

Method Summary

Methods

Modifier and Type	Method and Description
Histogram	clone()
Histogram	combine(Histogram... hs) Create a new histogram by concatenating this one with the given ones.
double	max() Compute the maximum value in the histogram
void	normalise() Normalise to unit length

Methods inherited from class org.openimaj.feature.DoubleFV

asciiHeader, asDoubleFV, asDoubleVector, binaryHeader, compare, get, length, normaliseFV, normaliseFV, normaliseFV, normaliseFV, readASCII, readBinary, toString, writeASCII, writeBinary

Methods inherited from class org.openimaj.feature.ArrayFeatureVector

getVector

Methods inherited from class java.lang.Object

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

Constructor Detail

Histogram

public Histogram(int nbins)

Construct a histogram with the given number of bins.

Parameters:

nbins - number of bins

Histogram

protected Histogram(double[] data)

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 Histogram clone()

Overrides:

clone in class DoubleFV

combine

public Histogram combine(Histogram... hs)

Create a new histogram by concatenating this one with the given ones.

Parameters:

hs - histograms to concatenate

Returns:

new histogram that is the concatenation of the argument histograms