Uses of Package
org.tribuo.math.distance
Packages that use org.tribuo.math.distance
Package
Description
Provides an implementation of HDBSCAN*.
Provides a multithreaded implementation of K-Means, with a
configurable distance function.
Provides a K-Nearest Neighbours implementation which works across
all Tribuo
Output
types.An interface for distance computations between two
SGDVector
instances
along with some standard implementations.Provides nearest neighbour query functionality.
Provides a brute-force nearest neighbour query implementation.
Provides a k-d tree nearest neighbour query implementation.
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Classes in org.tribuo.math.distance used by org.tribuo.clustering.hdbscanClassDescriptionInterface for distance functions.The built-in distance functions.
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Classes in org.tribuo.math.distance used by org.tribuo.clustering.kmeansClassDescriptionInterface for distance functions.The built-in distance functions.
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Classes in org.tribuo.math.distance used by org.tribuo.common.nearestClassDescriptionInterface for distance functions.The built-in distance functions.
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Classes in org.tribuo.math.distance used by org.tribuo.math.distanceClassDescriptionCosine similarity used as a distance measure.Interface for distance functions.The built-in distance functions.L1 (or Manhattan) distance.L2 (or Euclidean) distance.
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Classes in org.tribuo.math.distance used by org.tribuo.math.neighbour
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Classes in org.tribuo.math.distance used by org.tribuo.math.neighbour.bruteforce
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Classes in org.tribuo.math.distance used by org.tribuo.math.neighbour.kdtree