Uses of Interface
elki.data.SparseNumberVector

Packages that use SparseNumberVector

Package	Description
elki.clustering.kmeans	K-means clustering and variations.
elki.data	Basic classes for different data types, database object types and label types.
elki.data.projection.random	Random projection families.
elki.data.type	Data type information, also used for type restrictions.
elki.datasource.filter.normalization.columnwise	Normalizations operating on columns / variates; where each column is treated independently.
elki.datasource.filter.typeconversions	Filters to perform data type conversions.
elki.datasource.parser	Parsers for different file formats and data types.
elki.distance.minkowski	Minkowski space Lp norms such as the popular Euclidean and Manhattan distances.
elki.index.invertedlist	Indexes using inverted lists.
elki.itemsetmining	Algorithms for frequent itemset mining such as APRIORI.

Uses of SparseNumberVector in elki.clustering.kmeans

Methods in elki.clustering.kmeans with parameters of type SparseNumberVector

Modifier and Type	Method	Description
private static void	AbstractKMeans.sparsePlusEquals(double[] sum, SparseNumberVector vec)	Similar to VMath.plusEquals, but for sparse number vectors.
private static void	AbstractKMeans.sparsePlusMinusEquals(double[] add, double[] sub, SparseNumberVector vec)	Add to one, remove from another.

Method parameters in elki.clustering.kmeans with type arguments of type SparseNumberVector

Modifier and Type	Method	Description
private static double[][]	AbstractKMeans.sparseMeans(java.util.List<? extends DBIDs> clusters, double[][] means, Relation<? extends SparseNumberVector> relation)	Returns the mean vectors of the given clusters in the given database.

Uses of SparseNumberVector in elki.data

Classes in elki.data with type parameters of type SparseNumberVector

Modifier and Type	Interface	Description
static interface	SparseNumberVector.Factory<V extends SparseNumberVector>	Factory for sparse number vectors: make from a dim-value map.

Classes in elki.data that implement SparseNumberVector

Modifier and Type	Class	Description
class	BitVector	Vector using a dense bit set encoding, based on long[] storage.
class	SparseByteVector	Sparse vector type, using byte[] for storing the values, and int[] for storing the indexes, approximately 5 bytes per non-zero value (limited to -128..+127).
class	SparseDoubleVector	Sparse vector type, using double[] for storing the values, and int[] for storing the indexes, approximately 12 bytes per non-zero value.
class	SparseFloatVector	Sparse vector type, using float[] for storing the values, and int[] for storing the indexes, approximately 8 bytes per non-zero value.
class	SparseIntegerVector	Sparse vector type, using int[] for storing the values, and int[] for storing the indexes, approximately 8 bytes per non-zero integer value.
class	SparseShortVector	Sparse vector type, using short[] for storing the values, and int[] for storing the indexes, approximately 6 bytes per non-zero value.

Fields in elki.data with type parameters of type SparseNumberVector

Modifier and Type	Field	Description
static VectorFieldTypeInformation<SparseNumberVector>	SparseNumberVector.FIELD	Input data type: Sparse vector field.
static VectorTypeInformation<SparseNumberVector>	SparseNumberVector.VARIABLE_LENGTH	Input data type: Sparse vectors with variable length.

Methods in elki.data with parameters of type SparseNumberVector

Modifier and Type	Method	Description
static double	VectorUtil.angleSparse(SparseNumberVector v1, SparseNumberVector v2)	Compute the angle for sparse vectors.
static double	VectorUtil.angleSparseDense(SparseNumberVector v1, NumberVector v2)	Compute the angle for a sparse and a dense vector.
static double	VectorUtil.dotSparse(SparseNumberVector v1, SparseNumberVector v2)	Compute the dot product for two sparse vectors.
static double	VectorUtil.dotSparseDense(SparseNumberVector v1, double[] v2)	Compute the dot product for a sparse and a dense vector.
static double	VectorUtil.dotSparseDense(SparseNumberVector v1, NumberVector v2)	Compute the dot product for a sparse and a dense vector.

Uses of SparseNumberVector in elki.data.projection.random

Methods in elki.data.projection.random with parameters of type SparseNumberVector

Modifier and Type	Method	Description
private double[]	AbstractRandomProjectionFamily.MatrixProjection.projectSparse(SparseNumberVector in, double[] ret)	Project, exploiting sparsity; but the transposed matrix layout would have been better.

Uses of SparseNumberVector in elki.data.type

Fields in elki.data.type with type parameters of type SparseNumberVector

Modifier and Type	Field	Description
static VectorFieldTypeInformation<SparseNumberVector>	TypeUtil.SPARSE_VECTOR_FIELD	Sparse vector field.
static VectorTypeInformation<SparseNumberVector>	TypeUtil.SPARSE_VECTOR_VARIABLE_LENGTH	Sparse float vector field.

Uses of SparseNumberVector in elki.datasource.filter.normalization.columnwise

Classes in elki.datasource.filter.normalization.columnwise with type parameters of type SparseNumberVector

Modifier and Type	Class	Description
class	InverseDocumentFrequencyNormalization<V extends SparseNumberVector>	Normalization for text frequency (TF) vectors, using the inverse document frequency (IDF).

Uses of SparseNumberVector in elki.datasource.filter.typeconversions

Classes in elki.datasource.filter.typeconversions with type parameters of type SparseNumberVector

Modifier and Type	Class	Description
class	SparseVectorFieldFilter<V extends SparseNumberVector>	Class that turns sparse float vectors into a proper vector field, by setting the maximum dimensionality for each vector.

Uses of SparseNumberVector in elki.datasource.parser

Classes in elki.datasource.parser with type parameters of type SparseNumberVector

Modifier and Type	Class	Description
class	LibSVMFormatParser<V extends SparseNumberVector>	Parser to read libSVM format files.
static class	LibSVMFormatParser.Par<V extends SparseNumberVector>	Parameterization class.
class	SparseNumberVectorLabelParser<V extends SparseNumberVector>	Parser for parsing one point per line, attributes separated by whitespace.
static class	SparseNumberVectorLabelParser.Par<V extends SparseNumberVector>	Parameterization class.
class	TermFrequencyParser<V extends SparseNumberVector>	A parser to load term frequency data, which essentially are sparse vectors with text keys.
static class	TermFrequencyParser.Par<V extends SparseNumberVector>	Parameterization class.

Uses of SparseNumberVector in elki.distance.minkowski

Methods in elki.distance.minkowski that return types with arguments of type SparseNumberVector

Modifier and Type	Method	Description
SimpleTypeInformation<? super SparseNumberVector>	SparseLPNormDistance.getInputTypeRestriction()
SimpleTypeInformation<? super SparseNumberVector>	SparseSquaredEuclideanDistance.getInputTypeRestriction()

Methods in elki.distance.minkowski with parameters of type SparseNumberVector

Modifier and Type	Method	Description
double	SparseEuclideanDistance.distance(SparseNumberVector v1, SparseNumberVector v2)
double	SparseLPNormDistance.distance(SparseNumberVector v1, SparseNumberVector v2)
double	SparseManhattanDistance.distance(SparseNumberVector v1, SparseNumberVector v2)
double	SparseMaximumDistance.distance(SparseNumberVector v1, SparseNumberVector v2)
double	SparseSquaredEuclideanDistance.distance(SparseNumberVector v1, SparseNumberVector v2)
double	SparseEuclideanDistance.norm(SparseNumberVector v1)
double	SparseLPNormDistance.norm(SparseNumberVector v1)
double	SparseManhattanDistance.norm(SparseNumberVector v1)
double	SparseMaximumDistance.norm(SparseNumberVector v1)
double	SparseSquaredEuclideanDistance.norm(SparseNumberVector v1)

Uses of SparseNumberVector in elki.index.invertedlist

Methods in elki.index.invertedlist with parameters of type SparseNumberVector

Modifier and Type	Method	Description
private void	InMemoryInvertedIndex.indexSparse(DBIDRef ref, SparseNumberVector obj)	Index a single (sparse) instance.
private double	InMemoryInvertedIndex.naiveQuerySparse(SparseNumberVector obj, WritableDoubleDataStore scores, HashSetModifiableDBIDs cands)	Query the most similar objects, sparse version.

Uses of SparseNumberVector in elki.itemsetmining

Methods in elki.itemsetmining with parameters of type SparseNumberVector

Modifier and Type	Method	Description
boolean	DenseItemset.containedIn(SparseNumberVector bv)
boolean	Itemset.containedIn(SparseNumberVector bv)	Test whether the itemset is contained in a bit vector.
boolean	OneItemset.containedIn(SparseNumberVector bv)
boolean	SmallDenseItemset.containedIn(SparseNumberVector bv)