Uses of Package
weka.filters.unsupervised.attribute

Packages that use weka.filters.unsupervised.attribute

Package	Description
weka.core.neighboursearch
weka.filters.unsupervised.attribute

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

Class	Description
PrincipalComponentsJ	* Performs a principal components analysis and transformation of the data. * Dimensionality reduction is accomplished by choosing enough eigenvectors to account for some percentage of the variance in the original data -- default 0.95 (95%). * Based on code of the attribute selection scheme 'PrincipalComponents' by Mark Hall and Gabi Schmidberger.

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

Class	Description
AbstractColumnFinderApplier	Ancestor for filters that apply ColumnFinder schemes to the data.
EquiDistance.AttributeSelection	Defines how the attributes are selected.
InterquartileRangeSamp.IQRs	Container class for the IQR values.
NominalToNumeric.ConversionType	Enumeration of conversion types.
PartitionedMultiFilter2	A filter that applies filters on subsets of attributes and assembles the output into a new dataset.
PrincipalComponentsJ	* Performs a principal components analysis and transformation of the data. * Dimensionality reduction is accomplished by choosing enough eigenvectors to account for some percentage of the variance in the original data -- default 0.95 (95%). * Based on code of the attribute selection scheme 'PrincipalComponents' by Mark Hall and Gabi Schmidberger.