Uses of Interface
de.jungblut.distance.DistanceMeasurer

Packages that use DistanceMeasurer

Package	Description
de.jungblut.classification.knn
de.jungblut.clustering
de.jungblut.datastructure
de.jungblut.distance
de.jungblut.ner
de.jungblut.nlp

Uses of DistanceMeasurer in de.jungblut.classification.knn

Constructors in de.jungblut.classification.knn with parameters of type DistanceMeasurer

Constructor	Description
SparseKNearestNeighbours(int numOutcomes, int k, DistanceMeasurer measurer)	Constructs a new knn classifier.

Uses of DistanceMeasurer in de.jungblut.clustering

Methods in de.jungblut.clustering with parameters of type DistanceMeasurer

Modifier and Type	Method	Description
static java.util.List<java.util.List<AgglomerativeClustering.ClusterNode>>	AgglomerativeClustering.cluster(java.util.List<de.jungblut.math.DoubleVector> points, DistanceMeasurer distanceMeasurer, boolean verbose)	Starts the clustering process.
java.util.ArrayList<de.jungblut.math.DoubleVector>[]	DBSCAN.cluster(java.util.List<de.jungblut.math.DoubleVector> points, DistanceMeasurer measurer, int minPoints, double epsilon)	Clusters the points.
static java.util.List<java.util.List<de.jungblut.math.DoubleVector>>	DBSCANClustering.cluster(java.util.List<de.jungblut.math.DoubleVector> points, DistanceMeasurer measurer, int minPoints, double epsilon)	Clusters the given points.
java.util.List<Cluster>	KMeansClustering.cluster(int iterations, DistanceMeasurer distanceMeasurer, double delta, boolean verbose)	Starts the clustering process.
static java.util.List<de.jungblut.math.DoubleVector>	CanopyClustering.createCanopies(java.util.List<de.jungblut.math.DoubleVector> pPoints, DistanceMeasurer measure, double t1, double t2, boolean verbose)	Creates a list of canopies.

Uses of DistanceMeasurer in de.jungblut.datastructure

Methods in de.jungblut.datastructure with parameters of type DistanceMeasurer

Modifier and Type	Method	Description
static InvertedIndex<de.jungblut.math.DoubleVector,java.lang.Integer>	InvertedIndex.createVectorIndex(DistanceMeasurer measurer)	Creates an inverted index for vectors (usually sparse vectors are used) that maps dimensions to the corresponding vectors if they are non-zero.

Uses of DistanceMeasurer in de.jungblut.distance

Classes in de.jungblut.distance that implement DistanceMeasurer

Modifier and Type	Class	Description
class	CosineDistance
class	EuclidianDistance
class	HaversineDistance	Haversine distance implementation that picks up lat/lng in degrees at array/vector index 0 and 1 and returns the distance in meters between those two vectors.
class	JaccardDistance
class	ManhattanDistance
class	ZeroDistance

Methods in de.jungblut.distance with parameters of type DistanceMeasurer

Modifier and Type	Method	Description
static <T> VectorDocumentDistanceMeasurer<T>	VectorDocumentDistanceMeasurer.with(DistanceMeasurer measurer)

Constructors in de.jungblut.distance with parameters of type DistanceMeasurer

Constructor	Description
SimilarityMeasurer(DistanceMeasurer measurer)

Uses of DistanceMeasurer in de.jungblut.ner

Constructors in de.jungblut.ner with parameters of type DistanceMeasurer

Constructor	Description
IterativeSimilarityAggregation(java.lang.String[] seedTokens, de.jungblut.math.tuple.Tuple<java.lang.String[],de.jungblut.math.DoubleMatrix> bipartiteGraph, double alpha, DistanceMeasurer distance)	Constructs the similarity aggregation by seed tokens to expand and a given bipartite graph.

Uses of DistanceMeasurer in de.jungblut.nlp

Methods in de.jungblut.nlp with parameters of type DistanceMeasurer

Modifier and Type	Method	Description
static DocumentSimilarity	DocumentSimilarity.with(DistanceMeasurer measurer)