Uses of Interface
org.apache.commons.math3.ml.distance.DistanceMeasure
Packages that use DistanceMeasure
Package
Description
Clustering algorithms.
Cluster evaluation methods.
Common distance measures.
Neural networks.
Self Organizing Feature Map.
Utilities to visualize two-dimensional neural networks.
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Uses of DistanceMeasure in org.apache.commons.math3.ml.clustering
Methods in org.apache.commons.math3.ml.clustering that return DistanceMeasureModifier and TypeMethodDescriptionClusterer.getDistanceMeasure()Returns theDistanceMeasureinstance used by this clusterer.Constructors in org.apache.commons.math3.ml.clustering with parameters of type DistanceMeasureModifierConstructorDescriptionprotectedClusterer(DistanceMeasure measure) Build a new clusterer with the givenDistanceMeasure.DBSCANClusterer(double eps, int minPts, DistanceMeasure measure) Creates a new instance of a DBSCANClusterer.FuzzyKMeansClusterer(int k, double fuzziness, int maxIterations, DistanceMeasure measure) Creates a new instance of a FuzzyKMeansClusterer.FuzzyKMeansClusterer(int k, double fuzziness, int maxIterations, DistanceMeasure measure, double epsilon, RandomGenerator random) Creates a new instance of a FuzzyKMeansClusterer.KMeansPlusPlusClusterer(int k, int maxIterations, DistanceMeasure measure) Build a clusterer.KMeansPlusPlusClusterer(int k, int maxIterations, DistanceMeasure measure, RandomGenerator random) Build a clusterer.KMeansPlusPlusClusterer(int k, int maxIterations, DistanceMeasure measure, RandomGenerator random, KMeansPlusPlusClusterer.EmptyClusterStrategy emptyStrategy) Build a clusterer. -
Uses of DistanceMeasure in org.apache.commons.math3.ml.clustering.evaluation
Constructors in org.apache.commons.math3.ml.clustering.evaluation with parameters of type DistanceMeasureModifierConstructorDescriptionClusterEvaluator(DistanceMeasure measure) Creates a new cluster evaluator with the given distance measure.SumOfClusterVariances(DistanceMeasure measure) -
Uses of DistanceMeasure in org.apache.commons.math3.ml.distance
Classes in org.apache.commons.math3.ml.distance that implement DistanceMeasureModifier and TypeClassDescriptionclassCalculates the Canberra distance between two points.classCalculates the L∞ (max of abs) distance between two points.classCalculates the Earh Mover's distance (also known as Wasserstein metric) between two distributions.classCalculates the L2 (Euclidean) distance between two points.classCalculates the L1 (sum of abs) distance between two points. -
Uses of DistanceMeasure in org.apache.commons.math3.ml.neuralnet
Methods in org.apache.commons.math3.ml.neuralnet with parameters of type DistanceMeasureModifier and TypeMethodDescriptionstatic int[][]MapUtils.computeHitHistogram(Iterable<double[]> data, NeuronSquareMesh2D map, DistanceMeasure distance) Computes the "hit" histogram of a two-dimensional map.static doubleMapUtils.computeQuantizationError(Iterable<double[]> data, Iterable<Neuron> neurons, DistanceMeasure distance) Computes the quantization error.static doubleMapUtils.computeTopographicError(Iterable<double[]> data, Network net, DistanceMeasure distance) Computes the topographic error.static double[][]MapUtils.computeU(NeuronSquareMesh2D map, DistanceMeasure distance) Computes the U-matrix of a two-dimensional map.static NeuronMapUtils.findBest(double[] features, Iterable<Neuron> neurons, DistanceMeasure distance) Finds the neuron that best matches the given features.MapUtils.findBestAndSecondBest(double[] features, Iterable<Neuron> neurons, DistanceMeasure distance) Finds the two neurons that best match the given features.static Neuron[]MapUtils.sort(double[] features, Iterable<Neuron> neurons, DistanceMeasure distance) Creates a list of neurons sorted in increased order of the distance to the givenfeatures. -
Uses of DistanceMeasure in org.apache.commons.math3.ml.neuralnet.sofm
Constructors in org.apache.commons.math3.ml.neuralnet.sofm with parameters of type DistanceMeasureModifierConstructorDescriptionKohonenUpdateAction(DistanceMeasure distance, LearningFactorFunction learningFactor, NeighbourhoodSizeFunction neighbourhoodSize) -
Uses of DistanceMeasure in org.apache.commons.math3.ml.neuralnet.twod.util
Constructors in org.apache.commons.math3.ml.neuralnet.twod.util with parameters of type DistanceMeasureModifierConstructorDescriptionHitHistogram(boolean normalizeCount, DistanceMeasure distance) QuantizationError(DistanceMeasure distance) SmoothedDataHistogram(int smoothingBins, DistanceMeasure distance) TopographicErrorHistogram(boolean relativeCount, DistanceMeasure distance) UnifiedDistanceMatrix(boolean individualDistances, DistanceMeasure distance) Simple constructor.