Uses of Package
gov.sandia.cognition.learning.function.distance

Packages that use gov.sandia.cognition.learning.function.distance

Package	Description
gov.sandia.cognition.learning.algorithm.clustering	Provides clustering algorithms.
gov.sandia.cognition.learning.algorithm.clustering.cluster	Provides implementations of different types of clusters.
gov.sandia.cognition.learning.algorithm.clustering.divergence	Provides divergence functions for use in clustering.
gov.sandia.cognition.learning.algorithm.clustering.initializer	Provides implementations of methods for selecting initial clusters.
gov.sandia.cognition.learning.algorithm.nearest	Provides algorithms for Nearest-Neighbor memory-based functions.
gov.sandia.cognition.learning.function.distance	Provides distance functions.
gov.sandia.cognition.text.term.vector	Provides methods for handling documents represented as term vectors.

Classes in gov.sandia.cognition.learning.function.distance used by gov.sandia.cognition.learning.algorithm.clustering

Class and Description
DivergenceFunctionContainer Interface for a class that holds a divergence function.

Classes in gov.sandia.cognition.learning.function.distance used by gov.sandia.cognition.learning.algorithm.clustering.cluster

Class and Description
DefaultDivergenceFunctionContainer The DefaultDivergenceFunctionContainer class implements an object that holds a divergence function.
DivergenceFunctionContainer Interface for a class that holds a divergence function.

Classes in gov.sandia.cognition.learning.function.distance used by gov.sandia.cognition.learning.algorithm.clustering.divergence

Class and Description
DefaultDivergenceFunctionContainer The DefaultDivergenceFunctionContainer class implements an object that holds a divergence function.
DivergenceFunctionContainer Interface for a class that holds a divergence function.

Classes in gov.sandia.cognition.learning.function.distance used by gov.sandia.cognition.learning.algorithm.clustering.initializer

Class and Description
DefaultDivergenceFunctionContainer The DefaultDivergenceFunctionContainer class implements an object that holds a divergence function.
DivergenceFunctionContainer Interface for a class that holds a divergence function.

Classes in gov.sandia.cognition.learning.function.distance used by gov.sandia.cognition.learning.algorithm.nearest

Class and Description
DefaultDivergenceFunctionContainer The DefaultDivergenceFunctionContainer class implements an object that holds a divergence function.
DivergenceFunctionContainer Interface for a class that holds a divergence function.

Classes in gov.sandia.cognition.learning.function.distance used by gov.sandia.cognition.learning.function.distance

Class and Description
CosineDistanceMetric The CosineDistanceMetric class implements a semimetric between two vectors based on the cosine between the vectors.
DefaultDivergenceFunctionContainer The DefaultDivergenceFunctionContainer class implements an object that holds a divergence function.
DivergenceFunctionContainer Interface for a class that holds a divergence function.
DivergencesEvaluator Evaluates the divergence (distance) between an input and a list of values, storing the resulting divergence values in a vector.
DivergencesEvaluator.Learner A learner adapter for the DivergencesEvaluator.
EuclideanDistanceMetric The EuclideanDistanceMetric implements a distance metric that computes the Euclidean distance between two points.
EuclideanDistanceSquaredMetric The EuclideanDistanceSquaredMetric implements a distance metric that computes the squared Euclidean distance between two points.
ManhattanDistanceMetric The ManhattanDistanceMetric class implements a distance metric between two vectors that is implemented as the sum of the absolute value of the difference between the elements in the vectors.
WeightedEuclideanDistanceMetric A distance metric that weights each dimension of a vector differently before computing Euclidean distance.

Classes in gov.sandia.cognition.learning.function.distance used by gov.sandia.cognition.text.term.vector

Class and Description
CosineDistanceMetric The CosineDistanceMetric class implements a semimetric between two vectors based on the cosine between the vectors.