Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Interface
de.lmu.ifi.dbs.elki.data.FeatureVector

Packages that use FeatureVector
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
 

Classes in de.lmu.ifi.dbs.elki.data with type parameters of type FeatureVector
 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
 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
 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
 

Classes in de.lmu.ifi.dbs.elki.data.model with type parameters of type FeatureVector
 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
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
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation with type parameters of type FeatureVector
 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
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace with type parameters of type FeatureVector
 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
 

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel with type parameters of type FeatureVector
 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
 

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial with type parameters of type FeatureVector
 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
 

Classes in de.lmu.ifi.dbs.elki.preprocessing with type parameters of type FeatureVector
 class ProjectedDBSCANPreprocessor<D extends Distance<D>,V extends FeatureVector<V,?>>
          Abstract superclass for preprocessor of algorithms extending the ProjectedDBSCAN algorithm.
 


Release 0.3 (2010-03-31_1612)