SmoothedDataHistogram (Apache Commons Math 3.6.1 API)

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java.lang.Object
- 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 and Description

SmoothedDataHistogram(int smoothingBins, DistanceMeasure distance)

Method Summary

Methods
Modifier and Type	Method and 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 Detail
  - SmoothedDataHistogram
```
public SmoothedDataHistogram(int smoothingBins,
                     DistanceMeasure distance)
```
    Parameters:
    smoothingBins - Number of bins.
    distance - Distance.
- Method Detail
  - 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.

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