Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.itemsetmining |
Algorithms for frequent itemset mining such as APRIORI.
|
de.lmu.ifi.dbs.elki.data.type |
Data type information, also used for type restrictions.
|
de.lmu.ifi.dbs.elki.database.relation |
Relations, materialized and virtual (views).
|
de.lmu.ifi.dbs.elki.distance.distancefunction |
Distance functions for use within ELKI.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace |
Distance functions based on subspaces.
|
de.lmu.ifi.dbs.elki.result |
Result types, representation and handling
|
Modifier and Type | Method and Description |
---|---|
StringBuilder |
SparseItemset.appendTo(StringBuilder buf,
VectorFieldTypeInformation<BitVector> meta) |
StringBuilder |
SmallDenseItemset.appendTo(StringBuilder buf,
VectorFieldTypeInformation<BitVector> meta) |
StringBuilder |
OneItemset.appendTo(StringBuilder buf,
VectorFieldTypeInformation<BitVector> meta) |
abstract StringBuilder |
Itemset.appendTo(StringBuilder buf,
VectorFieldTypeInformation<BitVector> meta)
Append to a string buffer.
|
StringBuilder |
DenseItemset.appendTo(StringBuilder buf,
VectorFieldTypeInformation<BitVector> meta) |
private StringBuilder |
APRIORI.debugDumpCandidates(StringBuilder msg,
List<? extends Itemset> candidates,
VectorFieldTypeInformation<BitVector> meta)
Debug method: output all itemsets.
|
Modifier and Type | Field and Description |
---|---|
static VectorFieldTypeInformation<BitVector> |
TypeUtil.BIT_VECTOR_FIELD
Input type for algorithms that require bit vector fields.
|
static VectorFieldTypeInformation<DiscreteUncertainObject> |
TypeUtil.DISCRETE_UNCERTAIN_OBJECT
Uncertain objects.
|
static VectorFieldTypeInformation<DoubleVector> |
TypeUtil.DOUBLE_VECTOR_FIELD
Input type for algorithms that require number vector fields.
|
static VectorFieldTypeInformation<FloatVector> |
TypeUtil.FLOAT_VECTOR_FIELD
Input type for algorithms that require number vector fields.
|
static VectorFieldTypeInformation<NumberVector> |
TypeUtil.NUMBER_VECTOR_FIELD
Input type for algorithms that require number vector fields.
|
static VectorFieldTypeInformation<? super NumberVector> |
TypeUtil.NUMBER_VECTOR_FIELD_1D
Type request for two-dimensional number vectors
|
static VectorFieldTypeInformation<? super NumberVector> |
TypeUtil.NUMBER_VECTOR_FIELD_2D
Type request for two-dimensional number vectors
|
static VectorFieldTypeInformation<SparseDoubleVector> |
TypeUtil.SPARSE_DOUBLE_FIELD
Sparse double vector field.
|
static VectorFieldTypeInformation<SparseFloatVector> |
TypeUtil.SPARSE_FLOAT_FIELD
Sparse float vector field.
|
static VectorFieldTypeInformation<SparseNumberVector> |
TypeUtil.SPARSE_VECTOR_FIELD
Sparse vector field.
|
static VectorFieldTypeInformation<UncertainObject> |
TypeUtil.UNCERTAIN_OBJECT_FIELD
Uncertain objects.
|
Modifier and Type | Field and Description |
---|---|
(package private) static ByteBufferSerializer<VectorFieldTypeInformation<?>> |
TypeInformationSerializer.VECTOR_FIELD_TYPE_SERIALIZER
Serializer for vector fields.
|
Modifier and Type | Method and Description |
---|---|
VectorFieldTypeInformation<?> |
TypeInformationSerializer.VectorFieldTypeSerializer.fromByteBuffer(ByteBuffer buffer) |
static <V extends FeatureVector<?>> |
VectorFieldTypeInformation.typeRequest(Class<? super V> cls)
Constructor for a type request without dimensionality constraints.
|
static <V extends FeatureVector<?>> |
VectorFieldTypeInformation.typeRequest(Class<? super V> cls,
int mindim,
int maxdim)
Constructor for a type request with dimensionality constraints.
|
Modifier and Type | Method and Description |
---|---|
int |
TypeInformationSerializer.VectorFieldTypeSerializer.getByteSize(VectorFieldTypeInformation<?> object) |
void |
TypeInformationSerializer.VectorFieldTypeSerializer.toByteBuffer(ByteBuffer buffer,
VectorFieldTypeInformation<?> object) |
Modifier and Type | Method and Description |
---|---|
static <V extends FeatureVector<?>> |
RelationUtil.assumeVectorField(Relation<V> relation)
Get the vector field type information from a relation.
|
Modifier and Type | Method and Description |
---|---|
VectorFieldTypeInformation<? super NumberVector> |
MatrixWeightedDistanceFunction.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
VectorFieldTypeInformation<? super NumberVector> |
SubspaceLPNormDistanceFunction.getInputTypeRestriction() |
Modifier and Type | Field and Description |
---|---|
private VectorFieldTypeInformation<BitVector> |
FrequentItemsetsResult.meta
Metadata of the data relation, for item labels.
|
Constructor and Description |
---|
FrequentItemsetsResult(String name,
String shortname,
List<Itemset> itemsets,
VectorFieldTypeInformation<BitVector> meta)
Constructor.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.