Uses of Class
de.aitools.aq.algebra.vector.Vector

Packages that use Vector

de.aitools.aq.algebra.vector
de.aitools.aq.algebra.vector.functions
de.aitools.aq.graph
de.aitools.aq.graph.util
de.aitools.aq.graph.weighted.util
de.aitools.dm.clustering
de.aitools.dm.clustering.algorithms
de.aitools.dm.clustering.algorithms.dbscan
de.aitools.dm.clustering.validation
de.aitools.dm.clustering.validation.internal
de.aitools.dm.clusterlabeling.algorithms
de.aitools.ir.fingerprinting.hashfunction
de.aitools.ir.fingerprinting.representer
de.aitools.ir.retrievalmodels.relevance.algebraic
de.aitools.ir.retrievalmodels.relevance.probabilistic
de.aitools.ir.retrievalmodels.representer
de.aitools.ir.retrievalmodels.retrievalmodel

Uses of Vector in de.aitools.aq.algebra.vector

Methods in de.aitools.aq.algebra.vector that return Vector

static Vector	Vector.centroid(java.lang.Iterable<Vector> vectors)
static Vector	Vector.multiply(Vector vector, double[] values)
static Vector	Vector.multiply(Vector v1, Vector v2)

Methods in de.aitools.aq.algebra.vector with parameters of type Vector

void	Vector.add(Vector vector)
double	Vector.dot(Vector vector)
void	Vector.multiply(Vector vector)
static Vector	Vector.multiply(Vector vector, double[] values)
static Vector	Vector.multiply(Vector v1, Vector v2)
static int[]	VectorSort.sortedIndices(Vector input) Return the indices of the input vector, sorted in descending order.

Method parameters in de.aitools.aq.algebra.vector with type arguments of type Vector

static Vector

Vector.centroid(java.lang.Iterable<Vector> vectors)

Constructors in de.aitools.aq.algebra.vector with parameters of type Vector

Vector(Vector vector)

VectorSort(Vector nodeValues, boolean copyVector)
Create a new VectorSort.

VectorSort(Vector nodeValues, boolean copyVector, int numNodes)
Create a new VectorSort.

Uses of Vector in de.aitools.aq.algebra.vector.functions

Fields in de.aitools.aq.algebra.vector.functions with type parameters of type Vector

Proximity<Vector>

TestVectorProximityCommon.proximity

Methods in de.aitools.aq.algebra.vector.functions with parameters of type Vector

double	ManhattanDistance.computeDistance(Vector v1, Vector v2)
double	EuclideanDistance.computeDistance(Vector v1, Vector v2)
double	ManhattanDistance.computeNormalizedProximity(Vector v1, Vector v2)
double	CosineSimilarity.computeNormalizedProximity(Vector v1, Vector v2)
double	DotProduct.computeNormalizedProximity(Vector v1, Vector v2)
double	EuclideanDistance.computeNormalizedProximity(Vector v1, Vector v2)
double	ManhattanDistance.computeProximity(Vector v1, Vector v2)
double	CosineSimilarity.computeProximity(Vector v1, Vector v2)
double	DotProduct.computeProximity(Vector v1, Vector v2)
double	EuclideanDistance.computeProximity(Vector v1, Vector v2)
double	CosineSimilarity.computeSimilarity(Vector v1, Vector v2)
double	EuclideanDistance.computeSquaredDistance(Vector v1, Vector v2)

Constructor parameters in de.aitools.aq.algebra.vector.functions with type arguments of type Vector

TestVectorProximityCommon(Proximity<Vector> proximityMeasure)

Uses of Vector in de.aitools.aq.graph

Methods in de.aitools.aq.graph that return Vector

Vector	UndirectedGraph.getAdjacentNodes(int node)
Vector	Graph.getAdjacentNodes(int nodeId)

Constructors in de.aitools.aq.graph with parameters of type Vector

UndirectedGraph(Vector[] adjacencyMatrix)

Uses of Vector in de.aitools.aq.graph.util

Methods in de.aitools.aq.graph.util with parameters of type Vector

void	Sparsification.init(Vector[] data, Proximity<Vector> proximity)
void	Threshold.init(Vector[] data, Proximity<Vector> proximity)
void	NoSparsification.init(Vector[] data, Proximity<Vector> proximity)

Method parameters in de.aitools.aq.graph.util with type arguments of type Vector

void	Sparsification.init(Vector[] data, Proximity<Vector> proximity)
void	Threshold.init(Vector[] data, Proximity<Vector> proximity)
void	NoSparsification.init(Vector[] data, Proximity<Vector> proximity)

Uses of Vector in de.aitools.aq.graph.weighted.util

Methods in de.aitools.aq.graph.weighted.util with parameters of type Vector

static <V> UndirectedMutableGraph<V>	KNNGraph.createUndirectedKNNGraph(Vector[] data, V[] vertices, java.util.Comparator<V> vertexComparator, Proximity<Vector> proximity, int k) Deprecated. Create an undirected K-Nearest-Neighbor-Graph.
static <V> UndirectedMutableGraph<V>	KNNGraph.createUndirectedKNNGraph(Vector[] data, V[] vertices, java.util.Comparator<V> vertexComparator, Proximity<Vector> proximity, int k, double noEdgeWeight) Deprecated. Create an undirected K-Nearest-Neighbor-Graph.
static UndirectedMutableIntGraph	KNNGraph.createUndirectedKNNIntGraph(Vector[] data, Proximity<Vector> proximity, int k) Deprecated. Create an undirected K-Nearest-Neighbor-Graph.
static UndirectedMutableIntGraph	KNNGraph.createUndirectedKNNIntGraph(Vector[] data, Proximity<Vector> proximity, int k, double noEdgeWeight) Deprecated. Create an undirected K-Nearest-Neighbor-Graph.

Method parameters in de.aitools.aq.graph.weighted.util with type arguments of type Vector

static <V> UndirectedMutableGraph<V>	KNNGraph.createUndirectedKNNGraph(Vector[] data, V[] vertices, java.util.Comparator<V> vertexComparator, Proximity<Vector> proximity, int k) Deprecated. Create an undirected K-Nearest-Neighbor-Graph.
static <V> UndirectedMutableGraph<V>	KNNGraph.createUndirectedKNNGraph(Vector[] data, V[] vertices, java.util.Comparator<V> vertexComparator, Proximity<Vector> proximity, int k, double noEdgeWeight) Deprecated. Create an undirected K-Nearest-Neighbor-Graph.
static UndirectedMutableIntGraph	KNNGraph.createUndirectedKNNIntGraph(Vector[] data, Proximity<Vector> proximity, int k) Deprecated. Create an undirected K-Nearest-Neighbor-Graph.
static UndirectedMutableIntGraph	KNNGraph.createUndirectedKNNIntGraph(Vector[] data, Proximity<Vector> proximity, int k, double noEdgeWeight) Deprecated. Create an undirected K-Nearest-Neighbor-Graph.

Uses of Vector in de.aitools.dm.clustering

Methods in de.aitools.dm.clustering that return Vector

static Vector[]

ClusteringIO.read(java.io.InputStream in)

Methods in de.aitools.dm.clustering with parameters of type Vector

int[]	Clusterer.cluster(Vector[] data)
int[][]	SoftClusterer.clusterSoft(Vector[] data)

Uses of Vector in de.aitools.dm.clustering.algorithms

Fields in de.aitools.dm.clustering.algorithms declared as Vector

static Vector[]	HACTests.data Testdata to use.
static Vector[]	TestDBScan.DATA

Methods in de.aitools.dm.clustering.algorithms that return Vector

Vector[]

KMeans.getCentroids() Returs the centroids of the clusters that were found during the last clustering process.

Methods in de.aitools.dm.clustering.algorithms that return types with arguments of type Vector

Proximity<Vector>	KMeans.getProximity() Get the proximity.
Proximity<Vector>	KNNHAC.getProximityMeasure()

Methods in de.aitools.dm.clustering.algorithms with parameters of type Vector

int[]	SLink.cluster(Vector[] data) This method is used for clustering via the TIRA Framework.
int[]	DBScan.cluster(Vector[] data)
int[]	DBScan.DBScanConfiguration.cluster(Vector[] data) TODO
int[]	DBScan.DBScanAllParameters.cluster(Vector[] data)
int[]	DBScan.DBScanSearchProximity.cluster(Vector[] data)
int[]	AGraphClusterer.cluster(Vector[] data)
int[]	KNNHAC.cluster(Vector[] data) This method is used for clustering via the TIRA Framework.
int[]	KMeans.cluster(Vector[] data)
abstract int[]	AClusterer.cluster(Vector[] data)
int[]	HighRecallClusterer.cluster(Vector[] data)
int[]	SLink.cluster(Vector[] data, double threshold) Cluster given data hierarchically until the proximities between all clusters is less or equal to threshold.
int[]	KNNHAC.cluster(Vector[] data, double threshold) Cluster given data hierarchically until the proximities between all clusters is less or equal to threshold.
int[]	SLink.cluster(Vector[] data, int numClusters) Cluster given data hierarchically until only numClusters are left.
int[]	DBScan.cluster(Vector[] data, int coreMinNeighbors) TODO
int[]	KNNHAC.cluster(Vector[] data, int numClusters) Cluster given data hierarchically until only numClusters are left.
int[]	DBScan.cluster(Vector[] data, int coreMinNeighbors, DBScan.DBScanGraphKneeDetector neighborhoodProximityDetector) TODO
int[]	DBScan.cluster(Vector[] data, int coreMinNeighbors, double neighborhoodProximity) TODO
Dendrogram<DoubleMerge>	SLink.clusterDendrogram(Vector[] data) Cluster given data hierarchically.
Dendrogram<DoubleMerge>	KNNHAC.clusterDendrogram(Vector[] data) Cluster given data hierarchically.
int[][]	AClusterer.clusterSoft(Vector[] data)
abstract int[][]	ASoftClusterer.clusterSoft(Vector[] data)
static Graph	AGraphClusterer.createGraph(Vector[] data, Proximity<Vector> proximity, double threshold)
static int	ASoftClusterer.getBiggestRange(Vector[] data)

Method parameters in de.aitools.dm.clustering.algorithms with type arguments of type Vector

static Graph	AGraphClusterer.createGraph(Vector[] data, Proximity<Vector> proximity, double threshold)
void	AGraphClusterer.setProximity(Proximity<Vector> proximityMeasure)
void	SLink.setProximityMeasure(Proximity<Vector> proximityMeasure) Sets the proximity measure to be used for the clustering steps.
void	DBScan.setProximityMeasure(Proximity<Vector> proximityMeasure) Sets the proximity measure to be used for clustering.
void	KNNHAC.setProximityMeasure(Proximity<Vector> proximityMeasure) Sets the proximity measure to be used for the clustering steps.
void	KMeans.setProximityMeasure(Proximity<Vector> proximityMeasure) Sets a proximity measure.

Constructor parameters in de.aitools.dm.clustering.algorithms with type arguments of type Vector

AGraphClusterer(Proximity<Vector> proximityMeasure, Sparsification sparsificationMethod)

DBScan(Proximity<Vector> proximityMeasure)
TODO

KMeans(int k, Proximity<Vector> proximityMeasure, boolean updateIncremental)
The constructor to use in most cases.
The default seed for randomization is used.

KMeans(int k, Proximity<Vector> proximityMeasure, boolean updateIncremental, long seed)
If one does not want to try out another seed value, use the constructor with the default seed value (without the randomSeed parameter) instead.

KNNHAC(HACClusterMethod clusterMethod, Proximity<Vector> proximityMeasure)
Create a new K-Nearest-Neighbor-Hierarchical-Agglomerative-Clusterer (KNNHAC) using the default value for the number of neighbors (see KNNHAC.setNumberOfNeighbors(int)).

KNNHAC(HACClusterMethod clusterMethod, Proximity<Vector> proximityMeasure, int numNeighbors)
Create a new K-Nearest-Neighbor-Hierarchical-Agglomerative-Clusterer (KNNHAC).

MajorClust(Proximity<Vector> proximityMeasure, Sparsification sparsificationMethod, double minimumProximity)
Creates a new MajorClust-Clusterer using random ordering of instances.

MajorClust(Proximity<Vector> proximityMeasure, Sparsification sparsificationMethod, long randomNumberSeed, double minimumProximity)
Creates a new MajorClust-Clusterer.

SLink(Proximity<Vector> proximityMeasure)
Create a new Single Link Clusterer.
This allows only to use SLink.cluster(Vector[], int), SLink.cluster(Vector[], double) and SLink.clusterDendrogram(Vector[]).

Uses of Vector in de.aitools.dm.clustering.algorithms.dbscan

Methods in de.aitools.dm.clustering.algorithms.dbscan with parameters of type Vector

static void	ProximitySorter.gnuplot(Vector[] data, Proximity<Vector> proximityMeasure, int minNeighbor, int stepWidth, int numSteps, java.lang.String filepath)
static UndirectedMutableGraph<Point>	ProximitySorter.neighborGraph(Vector[] data, Proximity<Vector> proximityMeasure, int numNeighbors)

Method parameters in de.aitools.dm.clustering.algorithms.dbscan with type arguments of type Vector

static void	ProximitySorter.gnuplot(Vector[] data, Proximity<Vector> proximityMeasure, int minNeighbor, int stepWidth, int numSteps, java.lang.String filepath)
static UndirectedMutableGraph<Point>	ProximitySorter.neighborGraph(Vector[] data, Proximity<Vector> proximityMeasure, int numNeighbors)

Uses of Vector in de.aitools.dm.clustering.validation

Methods in de.aitools.dm.clustering.validation with parameters of type Vector

java.util.Map<java.lang.String,java.lang.Double>

InternalClusterValidator.validate(Distance<Vector> dm, Vector[] points, int[] clustering)

Method parameters in de.aitools.dm.clustering.validation with type arguments of type Vector

java.util.Map<java.lang.String,java.lang.Double>

InternalClusterValidator.validate(Distance<Vector> dm, Vector[] points, int[] clustering)

Uses of Vector in de.aitools.dm.clustering.validation.internal

Constructors in de.aitools.dm.clustering.validation.internal with parameters of type Vector

DaviesBouldinIndex(Distance<Vector> dm, Vector[] points, int[] clusterResult)

DunnIndex(Distance<Vector> dm, Vector[] points, int[] clusterResult)

SilhouetteCoefficient(Distance<Vector> dm, Vector[] points, int[] clusterResult)

Constructor parameters in de.aitools.dm.clustering.validation.internal with type arguments of type Vector

DaviesBouldinIndex(Distance<Vector> dm, Vector[] points, int[] clusterResult)

DunnIndex(Distance<Vector> dm, Vector[] points, int[] clusterResult)

SilhouetteCoefficient(Distance<Vector> dm, Vector[] points, int[] clusterResult)

Uses of Vector in de.aitools.dm.clusterlabeling.algorithms

Methods in de.aitools.dm.clusterlabeling.algorithms with parameters of type Vector

int[]	TopicIdentifier.cluster(Vector[] data)
int[][]	ACarrot2ClusterLabeler.clusterSoft(Vector[] data)

Uses of Vector in de.aitools.ir.fingerprinting.hashfunction

Methods in de.aitools.ir.fingerprinting.hashfunction with parameters of type Vector

java.math.BigInteger	FuzzyFingerprintingEncoding.hash(Vector document)
java.math.BigInteger	LocalitySensitiveEncoding.hash(Vector document)

Uses of Vector in de.aitools.ir.fingerprinting.representer

Methods in de.aitools.ir.fingerprinting.representer that return Vector

Vector	PrefixClassFunction.represent(java.lang.String document) Returns the dimensional reduced deviation vector of the document's prefix classes.
Vector	RandomProjectionFunction.represent(java.lang.String text)

Methods in de.aitools.ir.fingerprinting.representer that return types with arguments of type Vector

java.util.List<Vector>

RandomProjectionFunction.createRandomVectors(int number)

Method parameters in de.aitools.ir.fingerprinting.representer with type arguments of type Vector

void	RandomProjectionFunction.setRandomVectors(java.util.List<Vector> randomVectors)

Uses of Vector in de.aitools.ir.retrievalmodels.relevance.algebraic

Methods in de.aitools.ir.retrievalmodels.relevance.algebraic with parameters of type Vector

double	CosineSimilarity.compute(Vector v1, Vector v2) Computes and returns the cosine similarity between two vectors.
double	DotProductSimilarity.compute(Vector v1, Vector v2)

Uses of Vector in de.aitools.ir.retrievalmodels.relevance.probabilistic

Methods in de.aitools.ir.retrievalmodels.relevance.probabilistic with parameters of type Vector

double	JensenShannonDivergence.compute(Vector p1, Vector p2)
double	KullbackLeiblerDivergence.compute(Vector p1, Vector p2)

Uses of Vector in de.aitools.ir.retrievalmodels.representer

Methods in de.aitools.ir.retrievalmodels.representer that return Vector

Vector	InverseDocumentFrequency.represent(java.lang.Iterable<java.lang.String> texts)
Vector	LatentSemanticIndexing.represent(java.lang.String text)
Vector	TermFrequency.represent(java.lang.String text)
Vector	DivergenceFromRandomness.represent(java.lang.String text)
Vector	SerializableTermFrequency.represent(java.lang.String text)
Vector	TFIDF.represent(java.lang.String text)
Vector	TFPDF.represent(java.lang.String text)
Vector	OkapiBM25.represent(java.lang.String text)
Vector	OkapiBM25.RepresentationState.represent(java.lang.String text)
Vector	OkapiBM25.DocumentState.represent(java.lang.String text)
Vector	OkapiBM25.QueryState.represent(java.lang.String text)

Methods in de.aitools.ir.retrievalmodels.representer that return types with arguments of type Vector

Representer<java.lang.String,Vector>

LatentSemanticIndexing.getRepresenter()

Constructor parameters in de.aitools.ir.retrievalmodels.representer with type arguments of type Vector

LatentSemanticIndexing(Representer<java.lang.String,Vector> representer)

Uses of Vector in de.aitools.ir.retrievalmodels.retrievalmodel

Methods in de.aitools.ir.retrievalmodels.retrievalmodel that return Vector

Vector	ExplicitSemanticAnalysis.represent(java.lang.String text)
Vector	VectorSpaceModel.represent(java.lang.String text)

Constructor parameters in de.aitools.ir.retrievalmodels.retrievalmodel with type arguments of type Vector

VectorSpaceModel(Representer<java.lang.String,Vector> representer, RelevanceFunction<Vector,Vector> rho)

VectorSpaceModel(Representer<java.lang.String,Vector> representer, RelevanceFunction<Vector,Vector> rho)

VectorSpaceModel(Representer<java.lang.String,Vector> representer, RelevanceFunction<Vector,Vector> rho)