# Package weka.filters.unsupervised.instance

package weka.filters.unsupervised.instance

- Classes
  Class
  Description
  NonSparseToSparse
  An instance filter that converts all incoming instances into sparse format.
  Randomize
  Randomly shuffles the order of instances passed through it.
  RemoveDuplicates
  Removes all duplicate instances from the first batch of data it receives.
  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" by Vitter.
  SparseToNonSparse
  An instance filter that converts all incoming sparse instances into non-sparse format.
  SubsetByExpression
  Filters instances according to a user-specified expression.
  Examples:
  - extracting only mammals and birds from the 'zoo' UCI dataset:
  (CLASS is 'mammal') or (CLASS is 'bird')
  - extracting only animals with at least 2 legs from the 'zoo' UCI dataset:
  (ATT14 >= 2)
  - extracting only instances with non-missing 'wage-increase-second-year'
  from the 'labor' UCI dataset:
  not ismissing(ATT3)