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

Class QuantizationError

java.lang.Object

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

All Implemented Interfaces:

MapDataVisualization

public class QuantizationError
extends java.lang.Object
implements MapDataVisualization

Computes the quantization error histogram. Each bin will contain the average of the distances between samples mapped to the corresponding unit and the weight vector of that unit.

Since:

3.6

Constructor Summary

Constructors

Constructor and Description
QuantizationError(DistanceMeasure distance)

Method Summary

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

Methods inherited from class java.lang.Object

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

Constructor Detail

QuantizationError

public QuantizationError(DistanceMeasure distance)

Parameters:

distance - Distance.

Method Detail

computeImage

public double[][] computeImage(NeuronSquareMesh2D map,
                               java.lang.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.