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

Packages that use gov.sandia.cognition.learning.function.distance
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
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
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
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
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
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
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
CosineDistanceMetric
          The CosineDistanceMetric class implements a semimetric between two vectors based on the cosine between the vectors.