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Interface Summary | |
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DistanceMeasure | This interface is used for objects which can determine a distance metric between two points |
Class Summary | |
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ChebyshevDistanceMeasure | This class implements a "Chebyshev distance" metric by finding the maximum difference between each coordinate. |
CosineDistanceMeasure | This class implements a cosine distance metric by dividing the dot product of two vectors by the product of their lengths. |
EuclideanDistanceMeasure | This class implements a Euclidean distance metric by summing the square root of the squared differences between each coordinate. |
MahalanobisDistanceMeasure | |
ManhattanDistanceMeasure | This class implements a "manhattan distance" metric by summing the absolute values of the difference between each coordinate |
MinkowskiDistanceMeasure | Implement Minkowski distance, a real-valued generalization of the integral L(n) distances: Manhattan = L1, Euclidean = L2. |
SquaredEuclideanDistanceMeasure | Like EuclideanDistanceMeasure but it does not take the square root. |
TanimotoDistanceMeasure | Tanimoto coefficient implementation. |
WeightedDistanceMeasure | Abstract implementation of DistanceMeasure with support for weights. |
WeightedEuclideanDistanceMeasure | This class implements a Euclidean distance metric by summing the square root of the squared differences between each coordinate, optionally adding weights. |
WeightedManhattanDistanceMeasure | This class implements a "Manhattan distance" metric by summing the absolute values of the difference between each coordinate, optionally with weights. |
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