Uses of Interface
jsat.linear.vectorcollection.VectorCollection

Packages that use VectorCollection

Package	Description
jsat.classifiers.neuralnetwork
jsat.linear.vectorcollection
jsat.linear.vectorcollection.lsh

Uses of VectorCollection in jsat.classifiers.neuralnetwork

Fields in jsat.classifiers.neuralnetwork declared as VectorCollection

Modifier and Type	Field and Description
protected VectorCollection<VecPaired<Vec,Integer>>	LVQ.vc Contains the Learning vectors paired with their index in the weights array

Uses of VectorCollection in jsat.linear.vectorcollection

Subinterfaces of VectorCollection in jsat.linear.vectorcollection

Modifier and Type	Interface and Description
interface	IncrementalCollection<V extends Vec> This interface is for Vector Collections that support incremental construction.

Classes in jsat.linear.vectorcollection that implement VectorCollection

Modifier and Type	Class and Description
class	CoverTree<V extends Vec> This class implements the Cover-tree algorithm for answering nearest neighbor queries.
class	EuclideanCollection<V extends Vec> Provides a specialized collections that only supports the EuclideanDistance by brute force search.
class	KDTree<V extends Vec> Standard KDTree implementation.
class	RandomBallCover<V extends Vec> An implementation of the exact search for the Random Ball Cover algorithm.
class	RandomBallCoverOneShot<V extends Vec> An implementation of the on shot search for the Random Ball Cover algorithm.
class	RTree<V extends Vec>
class	VectorArray<V extends Vec> This is the naive implementation of a Vector collection.
class	VPTree<V extends Vec> Provides an implementation of Vantage Point Trees, as described in "Data Structures and Algorithms for Nearest Neighbor Search in General Metric Spaces" by Peter N.
class	VPTreeMV<V extends Vec> The VPTreeMV is an extension of the VPTree, the MV meaning "of Minimum Variance".

Methods in jsat.linear.vectorcollection that return VectorCollection

Modifier and Type	Method and Description
VectorCollection<V>	VectorCollection.clone()
VectorCollection<V>	RTree.clone()
VectorCollection<V>	VPTreeMV.VPTreeMVFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric)
VectorCollection<V>	VPTree.VPTreeFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric)
VectorCollection<V>	VectorCollectionFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric) Creates a new Vector Collection from the given source using the provided metric.
VectorCollection<V>	VectorArray.VectorArrayFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric)
VectorCollection<V>	RTree.RTreeFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric)
VectorCollection<V>	RandomBallCoverOneShot.RandomBallCoverOneShotFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric)
VectorCollection<V>	RandomBallCover.RandomBallCoverFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric)
VectorCollection<V>	KDTree.KDTreeFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric)
VectorCollection<V>	EuclideanCollection.EuclideanCollectionFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric)
VectorCollection<V>	DefaultVectorCollectionFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric)
VectorCollection<V>	CoverTree.CoverTreeFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric)
VectorCollection<V>	VPTreeMV.VPTreeMVFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric, ExecutorService threadpool)
VectorCollection<V>	VPTree.VPTreeFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric, ExecutorService threadpool)
VectorCollection<V>	VectorCollectionFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric, ExecutorService threadpool) Creates a new Vector Collection from the given source using the provided metric.
VectorCollection<V>	VectorArray.VectorArrayFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric, ExecutorService threadpool)
VectorCollection<V>	RTree.RTreeFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric, ExecutorService threadpool)
VectorCollection<V>	RandomBallCoverOneShot.RandomBallCoverOneShotFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric, ExecutorService threadpool)
VectorCollection<V>	RandomBallCover.RandomBallCoverFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric, ExecutorService threadpool)
VectorCollection<V>	KDTree.KDTreeFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric, ExecutorService threadpool)
VectorCollection<V>	EuclideanCollection.EuclideanCollectionFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric, ExecutorService threadpool)
VectorCollection<V>	DefaultVectorCollectionFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric, ExecutorService threadpool)
VectorCollection<V>	CoverTree.CoverTreeFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric, ExecutorService threadpool)

Methods in jsat.linear.vectorcollection with parameters of type VectorCollection

Modifier and Type	Method and Description
static <V0 extends Vec,V1 extends Vec> List<List<? extends VecPaired<V0,Double>>>	VectorCollectionUtils.allEpsNeighbors(VectorCollection<V0> collection, List<V1> search, double radius, ExecutorService threadpool) Searches the given collection for all the neighbors within a distance of radius for every data point in the given search list.
static <V0 extends Vec,V1 extends Vec> List<List<? extends VecPaired<V0,Double>>>	VectorCollectionUtils.allNearestNeighbors(VectorCollection<V0> collection, List<V1> search, int k) Searches the given collection for the k nearest neighbors for every data point in the given search list.
static <V0 extends Vec,V1 extends Vec> List<List<? extends VecPaired<V0,Double>>>	VectorCollectionUtils.allNearestNeighbors(VectorCollection<V0> collection, List<V1> search, int k, ExecutorService threadpool) Searches the given collection for the k nearest neighbors for every data point in the given search list.
static <V0 extends Vec,V1 extends Vec> List<List<? extends VecPaired<V0,Double>>>	VectorCollectionUtils.allNearestNeighbors(VectorCollection<V0> collection, V1[] search, int k) Searches the given collection for the k nearest neighbors for every data point in the given search list.
static <V0 extends Vec,V1 extends Vec> List<List<? extends VecPaired<V0,Double>>>	VectorCollectionUtils.allNearestNeighbors(VectorCollection<V0> collection, V1[] search, int k, ExecutorService threadpool) Searches the given collection for the k nearest neighbors for every data point in the given search list.
static <V0 extends Vec,V1 extends Vec> OnLineStatistics	VectorCollectionUtils.getKthNeighborStats(VectorCollection<V0> collection, List<V1> search, int k) Computes statistics about the distance of the k'th nearest neighbor for each data point in the search list.
static <V0 extends Vec,V1 extends Vec> OnLineStatistics	VectorCollectionUtils.getKthNeighborStats(VectorCollection<V0> collection, List<V1> search, int k, ExecutorService threadpool) Computes statistics about the distance of the k'th nearest neighbor for each data point in the search list.
static <V0 extends Vec,V1 extends Vec> OnLineStatistics	VectorCollectionUtils.getKthNeighborStats(VectorCollection<V0> collection, V1[] search, int k) Computes statistics about the distance of the k'th nearest neighbor for each data point in the search list.
static <V0 extends Vec,V1 extends Vec> OnLineStatistics	VectorCollectionUtils.getKthNeighborStats(VectorCollection<V0> collection, V1[] search, int k, ExecutorService threadpool) Computes statistics about the distance of the k'th nearest neighbor for each data point in the search list.

Uses of VectorCollection in jsat.linear.vectorcollection.lsh

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

Modifier and Type	Class and Description
class	RandomProjectionLSH<V extends Vec> An implementation of Locality Sensitive Hashing for the CosineDistance using random projections.

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

Modifier and Type	Method and Description
VectorCollection<V>	RandomProjectionLSH.clone()
VectorCollection<V>	RandomProjectionLSH.RandomProjectionLSHFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric)
VectorCollection<V>	RandomProjectionLSH.RandomProjectionLSHFactory.getVectorCollection(List<V> source, DistanceMetric distanceMetric, ExecutorService threadpool)