HitHistogram (Apache Commons Math 3.6.1 API)

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

## Class HitHistogram

- 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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