Package 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 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	Description
QuantizationError(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

QuantizationError

public QuantizationError(DistanceMeasure distance)

Parameters:

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.