Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Interface
de.lmu.ifi.dbs.elki.converter.WekaObject

Packages that use WekaObject
de.lmu.ifi.dbs.elki.data Package collects basic classes for different data types, database object types and label types. 
 

Uses of WekaObject in de.lmu.ifi.dbs.elki.data
 

Classes in de.lmu.ifi.dbs.elki.data that implement WekaObject
 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 decribes 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 SparseDoubleVector
          A SparseDoubleVector is to store real values approximately as double values.
 


Release 0.1 (2008-07-10_1838)