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| Interface Summary | |
|---|---|
| Cloneable |
This interface provides a publicly available getClone() method that
can be used to obtain a cloned version of the instance on which the
method was invoked. |
| DistanceMeasure | Definition of how to determine the distance between two objects. |
| Class Summary | |
|---|---|
| AbsoluteDistanceMeasure | Deprecated. Make use of Manhattan Distance. |
| ChebyshevDistanceMeasure | Chebyshev Distance is a special case of the
Minkowski Metric with 'alpha' := infinity. |
| ClusteringUtils | A class that simplifies clustering when making use of a ClusteringProblem, a
ClusterableDataSet and a ClusteringFitnessFunction. |
| CosineDistanceMeasure | The Cosine Distance Measure (or vector dot product) is not a distance measure, but rather a similarity metric. |
| EuclideanDistanceMeasure | Euclidean Distance is a special case of the MinkowskiMetric with
alpha = 2. |
| ManhattanDistanceMeasure | Manhattan Distance is a special case of the Minkowski Metric with 'alpha' := 1. |
| MinkowskiMetric | The Minkowski Metric is a generic measure of distance. |
| Vectors | Utility methods for Vectors. |
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