Package weka.filters.unsupervised.attribute

Class Summary

AbstractColumnFinderApplier	Ancestor for filters that apply ColumnFinder schemes to the data.
CorrelationMatrix	Computes a matrix with the correlation coefficients between attributes.
DatasetCleaner	Removes all columns from the data data that have been indentified.
DownSample	A simple filter that retains only every nth attribute.
FastWavelet	A filter for wavelet transformation using the JSci library's fast wavelet transform (FWT) algorithms. For more information see: (2009).
InterquartileRangeSamp	A filter for detecting outliers and extreme values based on interquartile ranges.
NormalizeAdaptive	Normalizes all numeric values in the given dataset (apart from the class attribute, if set).
PAA	Valid options are:
ReplaceMissingValuesWithZero	Replaces all missing values for nominal and numeric attributes in a dataset with the modes and means from the training data.
SavitzkyGolay	A filter that applies Savitzky-Golay smoothing. If a class attribute is present this will not be touched and moved to the end. For more information see: A.
SAX	A simple filter that retains only every nth attribute.
SetMissingValue	Attribute values in the given range are set to missing values. NB: The class attribute is not excluded from this process.
SpellChecker	A simple filter that merges misspelled labels into a single correct one.