weka.filters
Interface UnsupervisedFilter
- All Known Implementing Classes:
- AbstractTimeSeries, Add, AddCluster, AddExpression, AddNoise, ClusterMembership, Copy, Discretize, FirstOrder, MakeIndicator, MergeTwoValues, NominalToBinary, NonSparseToSparse, Normalize, NumericToBinary, NumericTransform, Obfuscate, Randomize, RandomProjection, Remove, RemoveFolds, RemoveMisclassified, RemovePercentage, RemoveRange, RemoveType, RemoveUseless, RemoveWithValues, ReplaceMissingValues, Resample, SparseToNonSparse, Standardize, StringToNominal, StringToWordVector, SwapValues
- public interface UnsupervisedFilter
Interface for filters that do not need a class attribute.
- Version:
- $Revision: 1.1 $
- Author:
- Richard Kirkby (rkirkby@cs.waikato.ac.nz)
Copyright (c)
2003 David Lindsay, Computer Learning Research Centre, Dept. Computer Science, Royal Holloway, University of London