public Class SmoothedDataHistogram

Class Inheritance

extends Object
implements MapDataVisualization

java.lang.Object
org.apache.commons.math3.ml.neuralnet.twod.util.SmoothedDataHistogram

All Implemented Interfaces

org.apache.commons.math3.ml.neuralnet.twod.util.MapDataVisualization

Imports

org.apache.commons.math3.ml.neuralnet.MapUtils, .Neuron, org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D, org.apache.commons.math3.ml.distance.DistanceMeasure, org.apache.commons.math3.exception.NumberIsTooSmallException

Visualization of high-dimensional data projection on a 2D-map. The method is described in Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps
by Elias Pampalk, Andreas Rauber and Dieter Merkl.

Since: 3.6

Field Summary

Modifier and Type	Field and Description
private final DistanceMeasure	distance Distance.
private final double	membershipNormalization Normalization factor.
private final int	smoothingBins Smoothing parameter.

Constructor Summary

Access	Constructor and Description
public	SmoothedDataHistogram(int Number of bins. smoothingBins, DistanceMeasure Distance. distance)

Method Summary

Modifier and Type	Method and Description
public double[][]	computeImage(NeuronSquareMesh2D Map. map, Iterable<double[]> Data. data) Implements org.apache.commons.math3.ml.neuralnet.twod.util.MapDataVisualization.computeImage. Creates an image of the `data` metrics when represented by the `map`.

Inherited from java.lang.Object:: clone equals finalize getClass hashCode notify notifyAll toString wait wait wait

Field Detail

distance	back to summary
private final DistanceMeasure distance Distance.

membershipNormalization	back to summary
private final double membershipNormalization Normalization factor.

smoothingBins	back to summary
private final int smoothingBins Smoothing parameter.

Constructor Detail

SmoothedDataHistogram	back to summary
public SmoothedDataHistogram(int smoothingBins, DistanceMeasure distance) Parameters smoothingBins:int Number of bins. distance:DistanceMeasure Distance.

Method Detail

computeImage back to summary

computeImage	back to summary
public double[][] computeImage(NeuronSquareMesh2D map, Iterable<double[]> data) Implements org.apache.commons.math3.ml.neuralnet.twod.util.MapDataVisualization.computeImage. Doc from org.apache.commons.math3.ml.neuralnet.twod.util.MapDataVisualization.computeImage. Creates an image of the `data` metrics when represented by the `map`. Parameters map:NeuronSquareMesh2D Map. data:Iterable<double[]> Data. Returns:double[][] a 2D-array (in row major order) representing the metrics. Exceptions NumberIsTooSmallException: if the size of the `map` is smaller than the number of `smoothing bins`.

public double[][] computeImage(NeuronSquareMesh2D map, Iterable<double[]> data)

Implements org.apache.commons.math3.ml.neuralnet.twod.util.MapDataVisualization.computeImage.

Doc from org.apache.commons.math3.ml.neuralnet.twod.util.MapDataVisualization.computeImage.

Creates an image of the data metrics when represented by the map.

Parameters

map:NeuronSquareMesh2D: Map.
data:Iterable<double[]>: Data.

Returns:double[][]

a 2D-array (in row major order) representing the metrics.

Exceptions

NumberIsTooSmallException:: if the size of the map is smaller than the number of smoothing bins.