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

All Implemented Interfaces:: MapDataVisualization

public class SmoothedDataHistogram extends Object implements MapDataVisualization

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

Constructor Summary

Constructors

Constructor

Description

SmoothedDataHistogram(int smoothingBins, 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
- SmoothedDataHistogram
  
  public SmoothedDataHistogram(int smoothingBins, DistanceMeasure distance)
  
  Parameters:
  
  smoothingBins - Number of bins.
  
  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.
  
  Throws:
  
  NumberIsTooSmallException - if the size of the map is smaller than the number of smoothing bins.

Class SmoothedDataHistogram

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Details

SmoothedDataHistogram

Method Details

computeImage