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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.data.model | Cluster models classes for various algorithms. |
de.lmu.ifi.dbs.elki.distance.distancefunction.correlation | Distance functions using correlations. |
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. |
de.lmu.ifi.dbs.elki.preprocessing | Preprocessors used for data preparation in a first step of various algorithms or distance and similarity measures. |
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,D>,D>
Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes). |
class |
Subspace<V extends FeatureVector<V,?>>
Represents a subspace of the original data space. |
Subinterfaces of FeatureVector in de.lmu.ifi.dbs.elki.data | |
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interface |
NumberVector<V extends NumberVector<V,N>,N extends Number>
Interface NumberVector 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 |
AbstractNumberVector<V extends AbstractNumberVector<V,N>,N extends Number>
AbstractNumberVector is an abstract implementation of FeatureVector. |
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 |
ParameterizationFunction
A parameterization function describes all lines in a d-dimensional feature space intersecting in one point p. |
class |
SparseFloatVector
A SparseFloatVector is to store real values approximately as float values. |
Uses of FeatureVector in de.lmu.ifi.dbs.elki.data.model |
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Classes in de.lmu.ifi.dbs.elki.data.model with type parameters of type FeatureVector | |
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class |
Bicluster<V extends FeatureVector<V,?>>
Wrapper class to provide the basic properties of a bicluster. |
class |
BiclusterWithInverted<V extends FeatureVector<V,?>>
This code was factored out of the Bicluster class, since not all biclusters have inverted rows. |
class |
CorrelationModel<V extends FeatureVector<V,?>>
Cluster model using a filtered PCA result and an centroid. |
class |
EMModel<V extends FeatureVector<V,?>>
Cluster model of an EM cluster, providing a mean and a full covariance Matrix. |
class |
MeanModel<V extends FeatureVector<V,?>>
Cluster model that stores a mean for the cluster. |
class |
SubspaceAndMeanModel<V extends FeatureVector<V,?>>
Model for Subspace Clusters that additionally stores a mean vector. |
class |
SubspaceModel<V extends FeatureVector<V,?>>
Model for Subspace Clusters. |
Fields in de.lmu.ifi.dbs.elki.data.model declared as FeatureVector | |
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private V |
CorrelationModel.centroid
The centroid of this cluster. |
private V |
MeanModel.mean
Cluster mean |
private V |
SubspaceAndMeanModel.mean
Cluster mean. |
Uses of FeatureVector in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation |
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Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation with type parameters of type FeatureVector | |
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class |
AbstractCorrelationDistanceFunction<V extends FeatureVector<V,?>,P extends Preprocessor<V>,D extends CorrelationDistance<D>>
Abstract super class for correlation based distance functions. |
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 |
AbstractDimensionsSelectingDoubleDistanceFunction<V extends FeatureVector<V,?>>
Provides a distance function that computes the distance (which is a double distance) between feature vectors only in specified dimensions. |
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 |
ArbitraryKernelFunctionWrapper<O extends FeatureVector<O,?>>
Provides a wrapper for arbitrary kernel functions whose kernel matrix has been precomputed. |
class |
KernelMatrix<O extends FeatureVector<O,?>>
Provides a class for storing the kernel matrix and several extraction methods for convenience. |
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. |
Uses of FeatureVector in de.lmu.ifi.dbs.elki.preprocessing |
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Classes in de.lmu.ifi.dbs.elki.preprocessing with type parameters of type FeatureVector | |
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class |
ProjectedDBSCANPreprocessor<D extends Distance<D>,V extends FeatureVector<V,?>>
Abstract superclass for preprocessor of algorithms extending the ProjectedDBSCAN algorithm. |
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