Package org.apache.mahout.common.distance

Interface Summary

Interface	Description
DistanceMeasure	This interface is used for objects which can determine a distance metric between two points

Class Summary

Class	Description
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.