de.lmu.ifi.dbs.elki.utilities.datastructures.histogram

Class MeanVarianceStaticHistogram

java.lang.Object

de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram

de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjStaticHistogram<MeanVariance>

de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.MeanVarianceStaticHistogram

All Implemented Interfaces:

Histogram, ObjHistogram<MeanVariance>

public class MeanVarianceStaticHistogram
extends AbstractObjStaticHistogram<MeanVariance>

Histogram class storing MeanVaraince object. The histogram will start with "bin" bins, but it can grow dynamically to the left and right.

Nested Class Summary

Nested classes/interfaces inherited from class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjStaticHistogram

AbstractObjStaticHistogram.Iter

Field Summary

Fields

Modifier and Type	Field and Description
(package private) MeanVariance[]	data Data store

Fields inherited from class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram

base, binsize, max, offset, size

Fields inherited from interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.Histogram

CACHE_SHIFT

Constructor Summary

Constructors

Constructor and Description
MeanVarianceStaticHistogram(int bins, double min, double max) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
protected MeanVariance	makeObject() Class to make a new object for the data store.
void	put(double coord, double val) Update the value of a bin with new data.
void	putData(double coord, MeanVariance data) Aggregate new data into the histogram.

Methods inherited from class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjStaticHistogram

get, iter

Methods inherited from class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram

getBinNr, getBinsize, getCoverMaximum, getCoverMinimum, getNumBins, growSize

Methods inherited from class java.lang.Object

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

Methods inherited from interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.Histogram

getBinsize, getCoverMaximum, getCoverMinimum, getNumBins

Field Detail

data

MeanVariance[] data

Data store

Constructor Detail

MeanVarianceStaticHistogram

public MeanVarianceStaticHistogram(int bins,
                           double min,
                           double max)

Constructor.

Parameters:

bins - Number of bins

min - Cover minimum

max - Cover maximum

Method Detail

put

public void put(double coord,
       double val)

Update the value of a bin with new data.

Parameters:

coord - Coordinate

val - Value

putData

public void putData(double coord,
           MeanVariance data)

Aggregate new data into the histogram. Note that the actual definition of "aggregate" depends on the application. While a static histogram will likely perform this immediately, a flexible histogram will cache a number of observations. Data is combined by using MeanVariance.put(Mean).

Parameters:

coord - Coordinate

data - Data

makeObject

protected MeanVariance makeObject()

Description copied from class: AbstractObjStaticHistogram

Class to make a new object for the data store.

Specified by:

makeObject in class AbstractObjStaticHistogram<MeanVariance>

Returns:

New instance.