Uses of Interface
jsat.linear.vectorcollection.VectorCollectionFactory

Packages that use VectorCollectionFactory

Package	Description
jsat.classifiers.knn
jsat.classifiers.neuralnetwork
jsat.clustering
jsat.datatransform.featureselection
jsat.distributions.multivariate
jsat.linear.vectorcollection
jsat.linear.vectorcollection.lsh

Uses of VectorCollectionFactory in jsat.classifiers.knn

Constructors in jsat.classifiers.knn with parameters of type VectorCollectionFactory

Constructor and Description
DANN(int kn, int k, double eps, int maxIterations, VectorCollectionFactory<VecPaired<Vec,Integer>> vcf) Creates a new DANN classifier
DANN(int kn, int k, double eps, VectorCollectionFactory<VecPaired<Vec,Integer>> vcf) Creates a new DANN classifier
LWL(Classifier classifier, int k, DistanceMetric dm, KernelFunction kf, VectorCollectionFactory<VecPaired<Vec,Double>> vcf) Creates a new LWL classifier
LWL(Regressor regressor, int k, DistanceMetric dm, KernelFunction kf, VectorCollectionFactory<VecPaired<Vec,Double>> vcf) Creates a new LWL Regressor
NearestNeighbour(int k, boolean weighted, DistanceMetric distanceMetric, VectorCollectionFactory<VecPaired<Vec,Double>> vcf) Constructs a new Nearest Neighbor Classifier
NearestNeighbour(int k, VectorCollectionFactory<VecPaired<Vec,Double>> vcf) Constructs a new Nearest Neighbor Classifier

Uses of VectorCollectionFactory in jsat.classifiers.neuralnetwork

Methods in jsat.classifiers.neuralnetwork with parameters of type VectorCollectionFactory

Modifier and Type	Method and Description
void	LVQ.setVecCollectionFactory(VectorCollectionFactory<VecPaired<Vec,Integer>> vcf) Sets the vector collection factory to use when storing the final learning vectors

Constructors in jsat.classifiers.neuralnetwork with parameters of type VectorCollectionFactory

Constructor and Description
SOM(DistanceMetric dm, int somHeight, int somWeight, VectorCollectionFactory<VecPaired<Vec,Integer>> vcFactory) Creates a new SOM using the given parameters

Uses of VectorCollectionFactory in jsat.clustering

Methods in jsat.clustering with parameters of type VectorCollectionFactory

Modifier and Type	Method and Description
void	OPTICS.setVCF(VectorCollectionFactory<VecPaired<Vec,Integer>> vcf) Sets the VectorCollectionFactory used to produce acceleration structures for the OPTICS computation.
void	LSDBC.setVectorCollectionFactory(VectorCollectionFactory<VecPaired<Vec,Integer>> vectorCollectionFactory) Sets the vector collection factory used for acceleration of neighbor searches.
void	FLAME.setVectorCollectionFactory(VectorCollectionFactory<VecPaired<Vec,Integer>> vectorCollectionFactory) Sets the vector collection factory used to accelerate the nearest neighbor search.

Constructors in jsat.clustering with parameters of type VectorCollectionFactory

Constructor and Description
DBSCAN(DistanceMetric dm, VectorCollectionFactory<VecPaired<Vec,Integer>> vecFactory)
HDBSCAN(DistanceMetric dm, int m_pts, int m_clSize, VectorCollectionFactory<Vec> vcf) Creates a new HDBSCAN using the full specification of the algorithm, where two parameters may be altered.
HDBSCAN(DistanceMetric dm, int m_pts, VectorCollectionFactory<Vec> vcf) Creates a new HDBSCAN using the simplified form, where the only parameter is a single value.

Uses of VectorCollectionFactory in jsat.datatransform.featureselection

Constructors in jsat.datatransform.featureselection with parameters of type VectorCollectionFactory

Constructor and Description
ReliefF(ClassificationDataSet cds, int featureCount, int m, int n, DistanceMetric dm, VectorCollectionFactory<Vec> vcf) Creates a new ReliefF object to measure the importance of the variables with respect to a classification task.
ReliefF(ClassificationDataSet cds, int featureCount, int m, int n, DistanceMetric dm, VectorCollectionFactory<Vec> vcf, ExecutorService threadPool) Creates a new ReliefF object to measure the importance of the variables with respect to a classification task.
ReliefF(int featureCount, int m, int n, DistanceMetric dm, VectorCollectionFactory<Vec> vcf) Creates a new ReliefF object to measure the importance of the variables with respect to a classification task.

Uses of VectorCollectionFactory in jsat.distributions.multivariate

Constructors in jsat.distributions.multivariate with parameters of type VectorCollectionFactory

Constructor and Description
MetricKDE(DistanceMetric distanceMetric, VectorCollectionFactory<VecPaired<Vec,Integer>> vcf) Creates a new KDE object that still needs a data set to model the distribution of
MetricKDE(KernelFunction kf, DistanceMetric distanceMetric, VectorCollectionFactory<VecPaired<Vec,Integer>> vcf) Creates a new KDE object that still needs a data set to model the distribution of
MetricKDE(KernelFunction kf, DistanceMetric distanceMetric, VectorCollectionFactory<VecPaired<Vec,Integer>> vcf, int defaultK, double defaultStndDev) Creates a new KDE object that still needs a data set to model the distribution of

Uses of VectorCollectionFactory in jsat.linear.vectorcollection

Classes in jsat.linear.vectorcollection that implement VectorCollectionFactory

Modifier and Type	Class and Description
static class	CoverTree.CoverTreeFactory<V extends Vec>
class	DefaultVectorCollectionFactory<V extends Vec> DefaultVectorCollectionFactory is a generic factory that attempts to return a good vector collection for the given input.
static class	EuclideanCollection.EuclideanCollectionFactory<V extends Vec>
static class	KDTree.KDTreeFactory<V extends Vec>
static class	RandomBallCover.RandomBallCoverFactory<V extends Vec>
static class	RandomBallCoverOneShot.RandomBallCoverOneShotFactory<V extends Vec>
static class	RTree.RTreeFactory<V extends Vec>
static class	VectorArray.VectorArrayFactory<V extends Vec>
static class	VPTree.VPTreeFactory<V extends Vec>
static class	VPTreeMV.VPTreeMVFactory<V extends Vec>

Methods in jsat.linear.vectorcollection that return VectorCollectionFactory

Modifier and Type	Method and Description
VectorCollectionFactory<V>	VPTreeMV.VPTreeMVFactory.clone()
VectorCollectionFactory<V>	VPTree.VPTreeFactory.clone()
VectorCollectionFactory<V>	VectorCollectionFactory.clone()
VectorCollectionFactory<V>	RandomBallCoverOneShot.RandomBallCoverOneShotFactory.clone()
VectorCollectionFactory<V>	RandomBallCover.RandomBallCoverFactory.clone()

Uses of VectorCollectionFactory in jsat.linear.vectorcollection.lsh

Classes in jsat.linear.vectorcollection.lsh that implement VectorCollectionFactory

Modifier and Type	Class and Description
static class	RandomProjectionLSH.RandomProjectionLSHFactory<V extends Vec>

Methods in jsat.linear.vectorcollection.lsh that return VectorCollectionFactory

Modifier and Type	Method and Description
VectorCollectionFactory<V>	RandomProjectionLSH.RandomProjectionLSHFactory.clone()