Uses of Interface org.apache.commons.math3.ml.clustering.Clusterable (Apache Commons Math 3.6.1 API)

## Uses of Interface
org.apache.commons.math3.ml.clustering.Clusterable

- Packages that use Clusterable
  Package | Description
  --- | ---
  org.apache.commons.math3.ml.clustering | Clustering algorithms.
  org.apache.commons.math3.ml.clustering.evaluation | Cluster evaluation methods.

- - ### Uses of Clusterable in org.apache.commons.math3.ml.clustering

    Classes in org.apache.commons.math3.ml.clustering with type parameters of type Clusterable
    Modifier and Type | Class and Description
    --- | ---
    `class` | `CentroidCluster<T extends Clusterable>` A Cluster used by centroid-based clustering algorithms.
    `class` | `Cluster<T extends Clusterable>` Cluster holding a set of `Clusterable` points.
    `class` | `Clusterer<T extends Clusterable>` Base class for clustering algorithms.
    `class` | `DBSCANClusterer<T extends Clusterable>` DBSCAN (density-based spatial clustering of applications with noise) algorithm.
    `class` | `FuzzyKMeansClusterer<T extends Clusterable>` Fuzzy K-Means clustering algorithm.
    `class` | `KMeansPlusPlusClusterer<T extends Clusterable>` Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.
    `class` | `MultiKMeansPlusPlusClusterer<T extends Clusterable>` A wrapper around a k-means++ clustering algorithm which performs multiple trials and returns the best solution.

    Classes in org.apache.commons.math3.ml.clustering that implement Clusterable
    Modifier and Type | Class and Description
    --- | ---
    `class` | `DoublePoint` A simple implementation of `Clusterable` for points with double coordinates.

    Methods in org.apache.commons.math3.ml.clustering that return Clusterable
    Modifier and Type | Method and Description
    --- | ---
    `Clusterable` | CentroidCluster.`getCenter()` Get the point chosen to be the center of this cluster.

    Methods in org.apache.commons.math3.ml.clustering with parameters of type Clusterable
    Modifier and Type | Method and Description
    --- | ---
    `protected double` | Clusterer.`distance(Clusterable p1, Clusterable p2)` Calculates the distance between two `Clusterable` instances with the configured `DistanceMeasure`.

    Constructors in org.apache.commons.math3.ml.clustering with parameters of type Clusterable
    Constructor and Description
    `CentroidCluster(Clusterable center)` Build a cluster centered at a specified point.

  - ### Uses of Clusterable in org.apache.commons.math3.ml.clustering.evaluation

    Classes in org.apache.commons.math3.ml.clustering.evaluation with type parameters of type Clusterable
    Modifier and Type | Class and Description
    --- | ---
    `class` | `ClusterEvaluator<T extends Clusterable>` Base class for cluster evaluation methods.
    `class` | `SumOfClusterVariances<T extends Clusterable>` Computes the sum of intra-cluster distance variances according to the formula:

    Methods in org.apache.commons.math3.ml.clustering.evaluation that return Clusterable
    Modifier and Type | Method and Description
    --- | ---
    `protected Clusterable` | ClusterEvaluator.`centroidOf(Cluster<T> cluster)` Computes the centroid for a cluster.

    Methods in org.apache.commons.math3.ml.clustering.evaluation with parameters of type Clusterable
    Modifier and Type | Method and Description
    --- | ---
    `protected double` | ClusterEvaluator.`distance(Clusterable p1, Clusterable p2)` Calculates the distance between two `Clusterable` instances with the configured `DistanceMeasure`.

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