Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.em |
Expectation-Maximization clustering algorithm.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan |
Generalized DBSCAN.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain |
Clustering algorithms for uncertain data.
|
de.lmu.ifi.dbs.elki.data |
Basic classes for different data types, database object types and label types.
|
de.lmu.ifi.dbs.elki.data.projection |
Data projections.
|
de.lmu.ifi.dbs.elki.data.type |
Data type information, also used for type restrictions.
|
de.lmu.ifi.dbs.elki.database |
ELKI database layer - loading, storing, indexing and accessing data
|
de.lmu.ifi.dbs.elki.database.relation |
Relations, materialized and virtual (views).
|
de.lmu.ifi.dbs.elki.datasource.bundle |
Object bundles - exchange container for multi-represented objects.
|
de.lmu.ifi.dbs.elki.datasource.filter |
Data filtering, in particular for normalization and projection.
|
de.lmu.ifi.dbs.elki.datasource.filter.normalization |
Data normalization.
|
de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise |
Normalizations operating on columns / variates; where each column is treated independently.
|
de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise |
Instancewise normalization, where each instance is normalized independently.
|
de.lmu.ifi.dbs.elki.datasource.filter.transform |
Data space transformations.
|
de.lmu.ifi.dbs.elki.datasource.filter.typeconversions |
Filters to perform data type conversions.
|
de.lmu.ifi.dbs.elki.datasource.parser |
Parsers for different file formats and data types.
|
de.lmu.ifi.dbs.elki.distance.distancefunction |
Distance functions for use within ELKI.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.geo |
Geographic (earth) distance functions.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski |
Minkowski space L_p norms such as the popular Euclidean and Manhattan distances.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic |
Distance from probability theory, mostly divergences such as K-L-divergence, J-divergence.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.set |
Distance functions for binary and set type data.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.strings |
Distance functions for strings.
|
de.lmu.ifi.dbs.elki.distance.similarityfunction |
Similarity functions.
|
de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster |
Similarity measures for comparing clusters.
|
Modifier and Type | Field and Description |
---|---|
static SimpleTypeInformation<double[]> |
EM.SOFT_TYPE
Soft assignment result type.
|
Modifier and Type | Method and Description |
---|---|
SimpleTypeInformation<?>[] |
PreDeConNeighborPredicate.getOutputType() |
SimpleTypeInformation<?>[] |
NeighborPredicate.getOutputType()
Output data type information.
|
SimpleTypeInformation<?>[] |
FourCNeighborPredicate.getOutputType() |
SimpleTypeInformation<?>[] |
EpsilonNeighborPredicate.getOutputType() |
SimpleTypeInformation<?>[] |
ERiCNeighborPredicate.getOutputType() |
SimpleTypeInformation<?>[] |
COPACNeighborPredicate.getOutputType() |
Modifier and Type | Method and Description |
---|---|
boolean |
PreDeConCorePredicate.acceptsType(SimpleTypeInformation<?> type) |
boolean |
MinPtsCorePredicate.acceptsType(SimpleTypeInformation<?> type) |
boolean |
FourCCorePredicate.acceptsType(SimpleTypeInformation<?> type) |
boolean |
CorePredicate.acceptsType(SimpleTypeInformation<?> type)
Test whether the neighborhood type T is accepted by this predicate.
|
<T> NeighborPredicate.Instance<T> |
PreDeConNeighborPredicate.instantiate(Database database,
SimpleTypeInformation<?> type) |
<T> CorePredicate.Instance<T> |
PreDeConCorePredicate.instantiate(Database database,
SimpleTypeInformation<?> type) |
<T> NeighborPredicate.Instance<T> |
NeighborPredicate.instantiate(Database database,
SimpleTypeInformation<?> type)
Instantiate for a database.
|
<T> CorePredicate.Instance<T> |
MinPtsCorePredicate.instantiate(Database database,
SimpleTypeInformation<?> type) |
<T> NeighborPredicate.Instance<T> |
FourCNeighborPredicate.instantiate(Database database,
SimpleTypeInformation<?> type) |
<T> CorePredicate.Instance<T> |
FourCCorePredicate.instantiate(Database database,
SimpleTypeInformation<?> type) |
<T> NeighborPredicate.Instance<T> |
EpsilonNeighborPredicate.instantiate(Database database,
SimpleTypeInformation<?> type) |
<T> NeighborPredicate.Instance<T> |
ERiCNeighborPredicate.instantiate(Database database,
SimpleTypeInformation<?> type) |
<T> CorePredicate.Instance<T> |
CorePredicate.instantiate(Database database,
SimpleTypeInformation<?> type)
Instantiate for a database.
|
<T> NeighborPredicate.Instance<T> |
COPACNeighborPredicate.instantiate(Database database,
SimpleTypeInformation<?> type) |
Modifier and Type | Method and Description |
---|---|
SimpleTypeInformation<?>[] |
FDBSCANNeighborPredicate.getOutputType() |
Modifier and Type | Method and Description |
---|---|
<T> NeighborPredicate.Instance<T> |
FDBSCANNeighborPredicate.instantiate(Database database,
SimpleTypeInformation<?> type) |
Modifier and Type | Field and Description |
---|---|
static SimpleTypeInformation<HierarchicalClassLabel> |
HierarchicalClassLabel.TYPE
Type information.
|
Modifier and Type | Method and Description |
---|---|
SimpleTypeInformation<? super SimpleClassLabel> |
SimpleClassLabel.Factory.getTypeInformation() |
SimpleTypeInformation<? super HierarchicalClassLabel> |
HierarchicalClassLabel.Factory.getTypeInformation() |
abstract SimpleTypeInformation<? super L> |
ClassLabel.Factory.getTypeInformation()
Get type information for the labels.
|
Modifier and Type | Method and Description |
---|---|
SimpleTypeInformation<? super V> |
LngLatToECEFProjection.getInputDataTypeInformation() |
SimpleTypeInformation<? super V> |
LatLngToECEFProjection.getInputDataTypeInformation() |
SimpleTypeInformation<V> |
RandomProjection.getOutputDataTypeInformation() |
SimpleTypeInformation<OUT> |
Projection.getOutputDataTypeInformation()
Output type restriction
|
SimpleTypeInformation<V> |
NumericalFeatureSelection.getOutputDataTypeInformation() |
SimpleTypeInformation<V> |
LngLatToECEFProjection.getOutputDataTypeInformation() |
SimpleTypeInformation<V> |
LatLngToECEFProjection.getOutputDataTypeInformation() |
SimpleTypeInformation<V> |
FeatureSelection.getOutputDataTypeInformation() |
Modifier and Type | Method and Description |
---|---|
void |
Projection.initialize(SimpleTypeInformation<IN> in)
Initialize
|
void |
RandomProjection.initialize(SimpleTypeInformation<V> in) |
void |
NumericalFeatureSelection.initialize(SimpleTypeInformation<V> in) |
void |
LngLatToECEFProjection.initialize(SimpleTypeInformation<V> in) |
void |
LatLngToECEFProjection.initialize(SimpleTypeInformation<V> in) |
void |
FeatureSelection.initialize(SimpleTypeInformation<V> in) |
Modifier and Type | Class and Description |
---|---|
class |
MultivariateSeriesTypeInformation<V extends FeatureVector<?>>
Type information for multi-variate time series.
|
class |
VectorFieldTypeInformation<V extends FeatureVector<?>>
Type information to specify that a type has a fixed dimensionality.
|
class |
VectorTypeInformation<V extends FeatureVector<?>>
Construct a type information for vector spaces with fixed dimensionality.
|
Modifier and Type | Field and Description |
---|---|
static SimpleTypeInformation<Object> |
TypeUtil.ANY
Input type for algorithms that accept anything.
|
static SimpleTypeInformation<ClassLabel> |
TypeUtil.CLASSLABEL
A class label.
|
static SimpleTypeInformation<Clustering<?>> |
TypeUtil.CLUSTERING
Clustering.
|
static SimpleTypeInformation<DBID> |
TypeUtil.DBID
Database IDs.
|
static SimpleTypeInformation<DBIDs> |
TypeUtil.DBIDS
Database ID lists (but not single DBIDs).
|
static SimpleTypeInformation<Double> |
TypeUtil.DOUBLE
Double type, outlier scores etc.
|
static SimpleTypeInformation<ExternalID> |
TypeUtil.EXTERNALID
External ID type.
|
static SimpleTypeInformation<Integer> |
TypeUtil.INTEGER
Integer type.
|
static SimpleTypeInformation<LabelList> |
TypeUtil.LABELLIST
A list of labels.
|
static SimpleTypeInformation<Matrix> |
TypeUtil.MATRIX
Matrix type.
|
static SimpleTypeInformation<Model> |
TypeUtil.MODEL
Cluster model type.
|
static SimpleTypeInformation<DoubleDBIDList> |
TypeUtil.NEIGHBORLIST
A list of neighbors.
|
static SimpleTypeInformation<PolygonsObject> |
TypeUtil.POLYGON_TYPE
Type for polygons.
|
static SimpleTypeInformation<SimpleClassLabel> |
TypeUtil.SIMPLE_CLASSLABEL
Simple class labels.
|
static SimpleTypeInformation<SpatialComparable> |
TypeUtil.SPATIAL_OBJECT
Spatial objects.
|
static SimpleTypeInformation<String> |
TypeUtil.STRING
A string.
|
static SimpleTypeInformation<Vector> |
TypeUtil.VECTOR
Vector type.
|
Modifier and Type | Field and Description |
---|---|
(package private) static ByteBufferSerializer<SimpleTypeInformation<?>> |
TypeInformationSerializer.SIMPLE_TYPE_SERIALIZER
Serializer for simple types only.
|
Modifier and Type | Method and Description |
---|---|
SimpleTypeInformation<?> |
TypeInformationSerializer.SimpleTypeSerializer.fromByteBuffer(ByteBuffer buffer) |
Modifier and Type | Method and Description |
---|---|
int |
TypeInformationSerializer.SimpleTypeSerializer.getByteSize(SimpleTypeInformation<?> object) |
void |
TypeInformationSerializer.SimpleTypeSerializer.toByteBuffer(ByteBuffer buffer,
SimpleTypeInformation<?> object) |
Modifier and Type | Method and Description |
---|---|
private Relation<?> |
HashmapDatabase.addNewRelation(SimpleTypeInformation<?> meta)
Add a new representation for the given meta.
|
Modifier and Type | Field and Description |
---|---|
private SimpleTypeInformation<O> |
MaterializedRelation.type
The class of objects we store.
|
Modifier and Type | Method and Description |
---|---|
SimpleTypeInformation<O> |
Relation.getDataTypeInformation()
Get the data type of this representation
|
SimpleTypeInformation<O> |
ProxyView.getDataTypeInformation() |
SimpleTypeInformation<OUT> |
ProjectedView.getDataTypeInformation() |
SimpleTypeInformation<O> |
MaterializedRelation.getDataTypeInformation() |
SimpleTypeInformation<Double> |
MaterializedDoubleRelation.getDataTypeInformation() |
SimpleTypeInformation<DBID> |
DBIDView.getDataTypeInformation() |
SimpleTypeInformation<String> |
ConvertToStringView.getDataTypeInformation() |
Constructor and Description |
---|
MaterializedRelation(SimpleTypeInformation<O> type,
DBIDs ids)
Constructor.
|
MaterializedRelation(SimpleTypeInformation<O> type,
DBIDs ids,
String name)
Constructor.
|
MaterializedRelation(SimpleTypeInformation<O> type,
DBIDs ids,
String name,
DataStore<O> content)
Constructor.
|
MaterializedRelation(String name,
String shortname,
SimpleTypeInformation<O> type,
DataStore<O> content,
DBIDs ids)
Constructor.
|
Modifier and Type | Method and Description |
---|---|
SimpleTypeInformation<?> |
SingleObjectBundle.meta(int i) |
SimpleTypeInformation<?> |
ObjectBundle.meta(int i)
Access the meta data.
|
SimpleTypeInformation<?> |
MultipleObjectsBundle.meta(int i) |
Modifier and Type | Method and Description |
---|---|
void |
SingleObjectBundle.append(SimpleTypeInformation<?> meta,
Object data)
Append a single representation to the object.
|
MultipleObjectsBundle |
MultipleObjectsBundle.appendColumn(SimpleTypeInformation<?> type,
List<?> data)
Helper to add a single column to the bundle.
|
static <V> MultipleObjectsBundle |
MultipleObjectsBundle.makeSimple(SimpleTypeInformation<? super V> type,
List<? extends V> data)
Helper to add a single column to the bundle.
|
static <V1,V2> MultipleObjectsBundle |
MultipleObjectsBundle.makeSimple(SimpleTypeInformation<? super V1> type1,
List<? extends V1> data1,
SimpleTypeInformation<? super V2> type2,
List<? extends V2> data2)
Helper to add a single column to the bundle.
|
static <V1,V2> MultipleObjectsBundle |
MultipleObjectsBundle.makeSimple(SimpleTypeInformation<? super V1> type1,
List<? extends V1> data1,
SimpleTypeInformation<? super V2> type2,
List<? extends V2> data2)
Helper to add a single column to the bundle.
|
static <V1,V2,V3> MultipleObjectsBundle |
MultipleObjectsBundle.makeSimple(SimpleTypeInformation<? super V1> type1,
List<? extends V1> data1,
SimpleTypeInformation<? super V2> type2,
List<? extends V2> data2,
SimpleTypeInformation<? super V3> type3,
List<? extends V3> data3)
Helper to add a single column to the bundle.
|
static <V1,V2,V3> MultipleObjectsBundle |
MultipleObjectsBundle.makeSimple(SimpleTypeInformation<? super V1> type1,
List<? extends V1> data1,
SimpleTypeInformation<? super V2> type2,
List<? extends V2> data2,
SimpleTypeInformation<? super V3> type3,
List<? extends V3> data3)
Helper to add a single column to the bundle.
|
static <V1,V2,V3> MultipleObjectsBundle |
MultipleObjectsBundle.makeSimple(SimpleTypeInformation<? super V1> type1,
List<? extends V1> data1,
SimpleTypeInformation<? super V2> type2,
List<? extends V2> data2,
SimpleTypeInformation<? super V3> type3,
List<? extends V3> data3)
Helper to add a single column to the bundle.
|
Constructor and Description |
---|
BundleMeta(SimpleTypeInformation<?>... types)
Constructor.
|
Modifier and Type | Method and Description |
---|---|
protected abstract SimpleTypeInformation<? super O> |
AbstractStreamConversionFilter.convertedType(SimpleTypeInformation<I> in)
Get the output type from the input type after conversion.
|
protected abstract SimpleTypeInformation<? super O> |
AbstractConversionFilter.convertedType(SimpleTypeInformation<I> in)
Get the output type from the input type after conversion.
|
protected abstract SimpleTypeInformation<? super I> |
AbstractConversionFilter.getInputTypeRestriction()
Get the input type restriction used for negotiating the data query.
|
Modifier and Type | Method and Description |
---|---|
protected abstract SimpleTypeInformation<? super O> |
AbstractStreamConversionFilter.convertedType(SimpleTypeInformation<I> in)
Get the output type from the input type after conversion.
|
protected abstract SimpleTypeInformation<? super O> |
AbstractConversionFilter.convertedType(SimpleTypeInformation<I> in)
Get the output type from the input type after conversion.
|
static <V extends NumberVector> |
FilterUtil.guessFactory(SimpleTypeInformation<V> in)
Try to guess the appropriate factory.
|
protected void |
AbstractVectorStreamConversionFilter.initializeOutputType(SimpleTypeInformation<O> type)
Initialize factory from a data type.
|
protected void |
AbstractVectorConversionFilter.initializeOutputType(SimpleTypeInformation<O> type)
Initialize factory from a data type.
|
protected boolean |
AbstractConversionFilter.prepareStart(SimpleTypeInformation<I> in)
Return "true" when the normalization needs initialization (two-pass filtering!).
|
Modifier and Type | Method and Description |
---|---|
protected SimpleTypeInformation<? super V> |
AbstractStreamNormalization.convertedType(SimpleTypeInformation<V> in) |
protected SimpleTypeInformation<? super V> |
AbstractNormalization.convertedType(SimpleTypeInformation<V> in) |
Modifier and Type | Method and Description |
---|---|
protected SimpleTypeInformation<? super V> |
AbstractStreamNormalization.convertedType(SimpleTypeInformation<V> in) |
protected SimpleTypeInformation<? super V> |
AbstractNormalization.convertedType(SimpleTypeInformation<V> in) |
Modifier and Type | Method and Description |
---|---|
protected SimpleTypeInformation<? super V> |
InverseDocumentFrequencyNormalization.getInputTypeRestriction() |
protected SimpleTypeInformation<? super V> |
AttributeWiseVarianceNormalization.getInputTypeRestriction() |
protected SimpleTypeInformation<? super V> |
AttributeWiseMinMaxNormalization.getInputTypeRestriction() |
protected SimpleTypeInformation<? super V> |
AttributeWiseMeanNormalization.getInputTypeRestriction() |
protected SimpleTypeInformation<? super V> |
AttributeWiseErfNormalization.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
protected boolean |
InverseDocumentFrequencyNormalization.prepareStart(SimpleTypeInformation<V> in) |
protected boolean |
AttributeWiseVarianceNormalization.prepareStart(SimpleTypeInformation<V> in) |
protected boolean |
AttributeWiseMinMaxNormalization.prepareStart(SimpleTypeInformation<V> in) |
protected boolean |
AttributeWiseMeanNormalization.prepareStart(SimpleTypeInformation<V> in) |
Modifier and Type | Method and Description |
---|---|
protected SimpleTypeInformation<? super V> |
Log1PlusNormalization.getInputTypeRestriction() |
protected SimpleTypeInformation<? super V> |
LengthNormalization.getInputTypeRestriction() |
protected SimpleTypeInformation<? super V> |
InstanceRankNormalization.getInputTypeRestriction() |
protected SimpleTypeInformation<? super V> |
InstanceMinMaxNormalization.getInputTypeRestriction() |
protected SimpleTypeInformation<? super V> |
InstanceMeanVarianceNormalization.getInputTypeRestriction() |
protected SimpleTypeInformation<? super V> |
InstanceLogRankNormalization.getInputTypeRestriction() |
protected SimpleTypeInformation<? super V> |
HellingerHistogramNormalization.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
protected void |
InstanceMinMaxNormalization.initializeOutputType(SimpleTypeInformation<V> type) |
protected void |
InstanceMeanVarianceNormalization.initializeOutputType(SimpleTypeInformation<V> type) |
Modifier and Type | Method and Description |
---|---|
protected SimpleTypeInformation<?> |
AbstractSupervisedProjectionVectorFilter.convertedType(SimpleTypeInformation<?> in,
NumberVector.Factory<V> factory)
Get the output type from the input type after conversion.
|
protected SimpleTypeInformation<? super O> |
ProjectionFilter.convertedType(SimpleTypeInformation<I> in) |
protected SimpleTypeInformation<? super O> |
GlobalPrincipalComponentAnalysisTransform.convertedType(SimpleTypeInformation<O> in) |
protected SimpleTypeInformation<? super V> |
PerturbationFilter.convertedType(SimpleTypeInformation<V> in) |
protected SimpleTypeInformation<? super V> |
NumberVectorRandomFeatureSelectionFilter.convertedType(SimpleTypeInformation<V> in) |
protected SimpleTypeInformation<? super V> |
NumberVectorFeatureSelectionFilter.convertedType(SimpleTypeInformation<V> in) |
protected SimpleTypeInformation<? super V> |
LngLatToECEFFilter.convertedType(SimpleTypeInformation<V> in) |
protected SimpleTypeInformation<? super V> |
LatLngToECEFFilter.convertedType(SimpleTypeInformation<V> in) |
protected SimpleTypeInformation<V> |
HistogramJitterFilter.convertedType(SimpleTypeInformation<V> in) |
protected SimpleTypeInformation<? super V> |
PerturbationFilter.getInputTypeRestriction() |
protected SimpleTypeInformation<? super V> |
NumberVectorRandomFeatureSelectionFilter.getInputTypeRestriction() |
protected SimpleTypeInformation<? super V> |
NumberVectorFeatureSelectionFilter.getInputTypeRestriction() |
protected SimpleTypeInformation<? super V> |
LngLatToECEFFilter.getInputTypeRestriction() |
protected SimpleTypeInformation<? super V> |
LatLngToECEFFilter.getInputTypeRestriction() |
protected SimpleTypeInformation<? super V> |
HistogramJitterFilter.getInputTypeRestriction() |
protected SimpleTypeInformation<? super O> |
GlobalPrincipalComponentAnalysisTransform.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
protected SimpleTypeInformation<?> |
AbstractSupervisedProjectionVectorFilter.convertedType(SimpleTypeInformation<?> in,
NumberVector.Factory<V> factory)
Get the output type from the input type after conversion.
|
protected SimpleTypeInformation<? super O> |
ProjectionFilter.convertedType(SimpleTypeInformation<I> in) |
protected SimpleTypeInformation<? super O> |
GlobalPrincipalComponentAnalysisTransform.convertedType(SimpleTypeInformation<O> in) |
protected SimpleTypeInformation<? super V> |
PerturbationFilter.convertedType(SimpleTypeInformation<V> in) |
protected SimpleTypeInformation<? super V> |
NumberVectorRandomFeatureSelectionFilter.convertedType(SimpleTypeInformation<V> in) |
protected SimpleTypeInformation<? super V> |
NumberVectorFeatureSelectionFilter.convertedType(SimpleTypeInformation<V> in) |
protected SimpleTypeInformation<? super V> |
LngLatToECEFFilter.convertedType(SimpleTypeInformation<V> in) |
protected SimpleTypeInformation<? super V> |
LatLngToECEFFilter.convertedType(SimpleTypeInformation<V> in) |
protected SimpleTypeInformation<V> |
HistogramJitterFilter.convertedType(SimpleTypeInformation<V> in) |
(package private) void |
NumberVectorRandomFeatureSelectionFilter.initializeRandomAttributes(SimpleTypeInformation<V> in)
Initialize random attributes.
|
protected boolean |
GlobalPrincipalComponentAnalysisTransform.prepareStart(SimpleTypeInformation<O> in) |
protected boolean |
PerturbationFilter.prepareStart(SimpleTypeInformation<V> in) |
Modifier and Type | Method and Description |
---|---|
protected SimpleTypeInformation<WeightedDiscreteUncertainObject> |
WeightedUncertainSplitFilter.convertedType(SimpleTypeInformation<NumberVector> in) |
protected SimpleTypeInformation<UnweightedDiscreteUncertainObject> |
UncertainSplitFilter.convertedType(SimpleTypeInformation<NumberVector> in) |
protected SimpleTypeInformation<? super V> |
SparseVectorFieldFilter.convertedType(SimpleTypeInformation<V> in) |
protected SimpleTypeInformation<? super V> |
MultivariateTimeSeriesFilter.convertedType(SimpleTypeInformation<V> in) |
protected boolean |
SparseVectorFieldFilter.prepareStart(SimpleTypeInformation<V> in) |
Modifier and Type | Method and Description |
---|---|
protected SimpleTypeInformation<V> |
TermFrequencyParser.getTypeInformation(int mindim,
int maxdim) |
protected SimpleTypeInformation<V> |
SparseNumberVectorLabelParser.getTypeInformation(int mindim,
int maxdim) |
(package private) SimpleTypeInformation<V> |
NumberVectorLabelParser.getTypeInformation(int mindim,
int maxdim)
Get a prototype object for the given dimensionality.
|
Modifier and Type | Method and Description |
---|---|
SimpleTypeInformation<? super O> |
PrimitiveDistanceFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super NumberVector> |
CosineDistanceFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super NumberVector> |
ClarkDistanceFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super NumberVector> |
CanberraDistanceFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super NumberVector> |
ArcCosineDistanceFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super NumberVector> |
AbstractNumberVectorDistanceFunction.getInputTypeRestriction() |
SimpleTypeInformation<DBID> |
AbstractDBIDRangeDistanceFunction.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
SimpleTypeInformation<? super NumberVector> |
LngLatDistanceFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super NumberVector> |
LatLngDistanceFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super NumberVector> |
DimensionSelectingLatLngDistanceFunction.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
SimpleTypeInformation<? super NumberVector> |
WeightedLPNormDistanceFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super NumberVector> |
SquaredEuclideanDistanceFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super SparseNumberVector> |
SparseLPNormDistanceFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super NumberVector> |
LPNormDistanceFunction.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
SimpleTypeInformation<? super NumberVector> |
HellingerDistanceFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super NumberVector> |
ChiSquaredDistanceFunction.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
SimpleTypeInformation<? super O> |
JaccardSimilarityDistanceFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super FeatureVector<?>> |
HammingDistanceFunction.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
SimpleTypeInformation<? super String> |
NormalizedLevenshteinDistanceFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super String> |
LevenshteinDistanceFunction.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
SimpleTypeInformation<? super O> |
PrimitiveSimilarityFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super O> |
InvertedDistanceSimilarityFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super NumberVector> |
AbstractVectorSimilarityFunction.getInputTypeRestriction() |
abstract SimpleTypeInformation<? super O> |
AbstractPrimitiveSimilarityFunction.getInputTypeRestriction() |
Modifier and Type | Method and Description |
---|---|
SimpleTypeInformation<? super Clustering<?>> |
ClusteringRandIndexSimilarityFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super Clustering<?>> |
ClusteringFowlkesMallowsSimilarityFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super Clustering<?>> |
ClusteringBCubedF1SimilarityFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super Clustering<?>> |
ClusteringAdjustedRandIndexSimilarityFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super Cluster<?>> |
ClusterJaccardSimilarityFunction.getInputTypeRestriction() |
SimpleTypeInformation<? super Cluster<?>> |
ClusterIntersectionSimilarityFunction.getInputTypeRestriction() |
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.