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

Class HitHistogram

java.lang.Object

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

All Implemented Interfaces:

MapDataVisualization

public class HitHistogram
extends Object
implements MapDataVisualization

Computes the hit histogram. Each bin will contain the number of data for which the corresponding neuron is the best matching unit.

Since:

3.6

Constructor Summary

Constructors

Constructor	Description
HitHistogram(boolean normalizeCount, DistanceMeasure distance)

Method Summary

Modifier and Type	Method	Description
double[][]	computeImage(NeuronSquareMesh2D map, Iterable<double[]> data)	Creates an image of the data metrics when represented by the map.

Methods inherited from class java.lang.Object

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

Constructor Details

HitHistogram

public HitHistogram(boolean normalizeCount,
 DistanceMeasure distance)

Parameters:

normalizeCount - Whether to compute relative bin counts. If true, the data count in each bin will be divided by the total number of samples.

distance - Distance.

Method Details

computeImage

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

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

Specified by:

computeImage in interface MapDataVisualization

Parameters:

map - Map.

data - Data.

Returns:

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