Package weka.filters.unsupervised.instance

Class Summary
NonSparseToSparse An instance filter that converts all incoming instances into sparse format.
Normalize An instance filter that normalize instances considering only numeric attributes and ignoring class index.
Randomize Randomly shuffles the order of instances passed through it.
RemoveFolds This filter takes a dataset and outputs a specified fold for cross validation.
RemoveFrequentValues Determines which values (frequent or infrequent ones) of an (nominal) attribute are retained and filters the instances accordingly.
RemoveMisclassified A filter that removes instances which are incorrectly classified.
RemovePercentage A filter that removes a given percentage of a dataset.
RemoveRange A filter that removes a given range of instances of a dataset.
RemoveWithValues Filters instances according to the value of an attribute.
Resample Produces a random subsample of a dataset using either sampling with replacement or without replacement.
ReservoirSample Produces a random subsample of a dataset using the reservoir sampling algorithm "R" of Vitter.
SparseToNonSparse An instance filter that converts all incoming sparse instances into non-sparse format.