Uses of Interface
elki.data.SparseFeatureVector

Packages that use SparseFeatureVector

Package	Description
elki.data	Basic classes for different data types, database object types and label types.
elki.itemsetmining	Algorithms for frequent itemset mining such as APRIORI.

Uses of SparseFeatureVector in elki.data

Subinterfaces of SparseFeatureVector in elki.data

Modifier and Type	Interface	Description
interface	SparseNumberVector	Combines the SparseFeatureVector and NumberVector.

Classes in elki.data that implement SparseFeatureVector

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.

Uses of SparseFeatureVector in elki.itemsetmining

Method parameters in elki.itemsetmining with type arguments of type SparseFeatureVector

Modifier and Type	Method	Description
protected java.util.List<OneItemset>	APRIORI.buildFrequentOneItemsets(Relation<? extends SparseFeatureVector<?>> relation, int dim, int needed)	Build the 1-itemsets.