HitHistogram (Apache Commons Math 3.6.1 API)

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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 and Description

HitHistogram(boolean normalizeCount, 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
  - 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 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.

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