Uses of Interface
elki.data.SparseFeatureVector
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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. -
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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 onlong[]
storage.class
SparseByteVector
Sparse vector type, usingbyte[]
for storing the values, andint[]
for storing the indexes, approximately 5 bytes per non-zero value (limited to -128..+127).class
SparseDoubleVector
Sparse vector type, usingdouble[]
for storing the values, andint[]
for storing the indexes, approximately 12 bytes per non-zero value.class
SparseFloatVector
Sparse vector type, usingfloat[]
for storing the values, andint[]
for storing the indexes, approximately 8 bytes per non-zero value.class
SparseIntegerVector
Sparse vector type, usingint[]
for storing the values, andint[]
for storing the indexes, approximately 8 bytes per non-zero integer value.class
SparseShortVector
Sparse vector type, usingshort[]
for storing the values, andint[]
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.
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