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| Packages that use DistanceMeasure | |
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| org.apache.commons.math3.ml.clustering | Clustering algorithms. |
| org.apache.commons.math3.ml.distance | Common distance measures. |
| Uses of DistanceMeasure in org.apache.commons.math3.ml.clustering |
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| Methods in org.apache.commons.math3.ml.clustering that return DistanceMeasure | |
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DistanceMeasure |
Clusterer.getDistanceMeasure()
Returns the DistanceMeasure instance used by this clusterer. |
| Constructors in org.apache.commons.math3.ml.clustering with parameters of type DistanceMeasure | |
|---|---|
Clusterer(DistanceMeasure measure)
Build a new clusterer with the given DistanceMeasure. |
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DBSCANClusterer(double eps,
int minPts,
DistanceMeasure measure)
Creates a new instance of a DBSCANClusterer. |
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KMeansPlusPlusClusterer(int k,
int maxIterations,
DistanceMeasure measure)
Build a clusterer. |
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KMeansPlusPlusClusterer(int k,
int maxIterations,
DistanceMeasure measure,
RandomGenerator random)
Build a clusterer. |
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KMeansPlusPlusClusterer(int k,
int maxIterations,
DistanceMeasure measure,
RandomGenerator random,
KMeansPlusPlusClusterer.EmptyClusterStrategy emptyStrategy)
Build a clusterer. |
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| Uses of DistanceMeasure in org.apache.commons.math3.ml.distance |
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| Classes in org.apache.commons.math3.ml.distance that implement DistanceMeasure | |
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class |
CanberraDistance
Calculates the Canberra distance between two points. |
class |
ChebyshevDistance
Calculates the L∞ (max of abs) distance between two points. |
class |
EuclideanDistance
Calculates the L2 (Euclidean) distance between two points. |
class |
ManhattanDistance
Calculates the L1 (sum of abs) distance between two points. |
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