Uses of Package
weka.filters.unsupervised.attribute

Packages that use weka.filters.unsupervised.attribute

weka.attributeSelection
weka.classifiers.functions
weka.classifiers.meta
weka.classifiers.rules
weka.classifiers.trees
weka.classifiers.trees.m5
weka.clusterers
weka.filters.unsupervised.attribute

Classes in weka.filters.unsupervised.attribute used by weka.attributeSelection

NominalToBinary
Converts all nominal attributes into binary numeric attributes.

Normalize
Normalizes all numeric values in the given dataset.

Remove
An instance filter that deletes a range of attributes from the dataset.

ReplaceMissingValues
Replaces all missing values for nominal and numeric attributes in a dataset with the modes and means from the training data.

Classes in weka.filters.unsupervised.attribute used by weka.classifiers.functions

ClusterMembership
A filter that uses a clusterer to obtain cluster membership probabilites for each input instance and outputs them as new instances.

NominalToBinary
Converts all nominal attributes into binary numeric attributes.

RemoveUseless
This filter removes attributes that do not vary at all or that vary too much.

ReplaceMissingValues
Replaces all missing values for nominal and numeric attributes in a dataset with the modes and means from the training data.

Classes in weka.filters.unsupervised.attribute used by weka.classifiers.meta

Discretize
An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes.

MakeIndicator
Creates a new dataset with a boolean attribute replacing a nominal attribute.

Remove
An instance filter that deletes a range of attributes from the dataset.

Classes in weka.filters.unsupervised.attribute used by weka.classifiers.rules

Remove
An instance filter that deletes a range of attributes from the dataset.

Classes in weka.filters.unsupervised.attribute used by weka.classifiers.trees

ReplaceMissingValues
Replaces all missing values for nominal and numeric attributes in a dataset with the modes and means from the training data.

Classes in weka.filters.unsupervised.attribute used by weka.classifiers.trees.m5

ReplaceMissingValues
Replaces all missing values for nominal and numeric attributes in a dataset with the modes and means from the training data.

Classes in weka.filters.unsupervised.attribute used by weka.clusterers

ReplaceMissingValues
Replaces all missing values for nominal and numeric attributes in a dataset with the modes and means from the training data.

Classes in weka.filters.unsupervised.attribute used by weka.filters.unsupervised.attribute

AbstractTimeSeries
An abstract instance filter that assumes instances form time-series data and performs some merging of attribute values in the current instance with attribute attribute values of some previous (or future) instance.

Discretize
An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes.

PotentialClassIgnorer
This filter should be extended by other unsupervised attribute filters to allow processing of the class attribute if that's required.

Remove
An instance filter that deletes a range of attributes from the dataset.

TimeSeriesTranslate
An instance filter that assumes instances form time-series data and replaces attribute values in the current instance with the equivalent attribute attribute values of some previous (or future) instance.