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. |