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Packages that use FeatureVector | |
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de.lmu.ifi.dbs.elki.data | Basic classes for different data types, database object types and label types. |
de.lmu.ifi.dbs.elki.distance.distancefunction | Distance functions for use within ELKI. |
de.lmu.ifi.dbs.elki.distance.distancefunction.adapter | Distance functions deriving distances from e.g. similarity measures |
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace | Distance functions based on subspaces. |
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel | Kernel functions. |
de.lmu.ifi.dbs.elki.index.tree.spatial | Tree-based index structures for spatial indexing. |
Uses of FeatureVector in de.lmu.ifi.dbs.elki.data |
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Classes in de.lmu.ifi.dbs.elki.data with type parameters of type FeatureVector | |
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interface |
FeatureVector<V extends FeatureVector<V,N>,N extends Number>
Interface FeatureVector defines the methods that should be implemented by any Object that is element of a real vector space of type N. |
Classes in de.lmu.ifi.dbs.elki.data that implement FeatureVector | |
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class |
BitVector
Provides a BitVector wrapping a BitSet. |
class |
DoubleVector
A DoubleVector is to store real values approximately as double values. |
class |
FloatVector
A FloatVector is to store real values approximately as float values. |
class |
NumberVector<V extends NumberVector<V,N>,N extends Number>
NumberVector is an abstract implementation of FeatureVector. |
class |
ParameterizationFunction
A parameterization function describes all lines in a d-dimensional feature space intersecting in one point p. |
class |
RealVector<V extends RealVector<V,N>,N extends Number>
RealVector is an abstract super class for all feature vectors having real numbers as values. |
class |
SparseFloatVector
A SparseFloatVector is to store real values approximately as float values. |
Uses of FeatureVector in de.lmu.ifi.dbs.elki.distance.distancefunction |
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Classes in de.lmu.ifi.dbs.elki.distance.distancefunction with type parameters of type FeatureVector | |
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class |
ArcCosineDistanceFunction<V extends FeatureVector<V,?>>
Cosine distance function for feature vectors. |
class |
CosineDistanceFunction<V extends FeatureVector<V,?>>
Cosine distance function for feature vectors. |
class |
LPNormDistanceFunction<V extends FeatureVector<V,N>,N extends Number>
Provides a LP-Norm for FeatureVectors. |
Uses of FeatureVector in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter |
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Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter with type parameters of type FeatureVector | |
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class |
SimilarityAdapterAbstract<V extends FeatureVector<V,?>>
Adapter from a normalized similarity function to a distance function. |
class |
SimilarityAdapterArccos<V extends FeatureVector<V,?>>
Adapter from a normalized similarity function to a distance function using arccos(sim) . |
class |
SimilarityAdapterLinear<V extends FeatureVector<V,?>>
Adapter from a normalized similarity function to a distance function using 1 - sim . |
class |
SimilarityAdapterLn<V extends FeatureVector<V,?>>
Adapter from a normalized similarity function to a distance function using -log(sim) . |
Uses of FeatureVector in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace |
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Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace with type parameters of type FeatureVector | |
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class |
DimensionSelectingDistanceFunction<N extends Number,V extends FeatureVector<V,N>>
Provides a distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension. |
Uses of FeatureVector in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel |
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Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel with type parameters of type FeatureVector | |
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class |
FooKernelFunction<O extends FeatureVector<?,?>>
Provides an experimental KernelDistanceFunction for RealVectors. |
class |
LinearKernelFunction<O extends FeatureVector<O,?>>
Provides a linear Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by V1^T*V2. |
class |
PolynomialKernelFunction<O extends FeatureVector<O,?>>
Provides a polynomial Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by (V1^T*V2)^degree. |
Uses of FeatureVector in de.lmu.ifi.dbs.elki.index.tree.spatial |
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Classes in de.lmu.ifi.dbs.elki.index.tree.spatial with type parameters of type FeatureVector | |
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interface |
SpatialDistanceFunction<V extends FeatureVector<V,?>,D extends Distance<D>>
Defines the requirements for a distance function that can used in spatial index to measure the dissimilarity between spatial data objects. |
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