| weka.filters.unsupervised.instance |
|
| Java Source File Name | Type | Comment |
| NonSparseToSparse.java | Class |
An instance filter that converts all incoming instances into sparse format. |
| Normalize.java | Class |
An instance filter that normalize instances considering only numeric attributes and ignoring class index. |
| Randomize.java | Class |
Randomly shuffles the order of instances passed through it. |
| RemoveFolds.java | Class |
This filter takes a dataset and outputs a specified fold for cross validation. |
| RemoveFrequentValues.java | Class |
Determines which values (frequent or infrequent ones) of an (nominal) attribute are retained and filters the instances accordingly. |
| RemoveMisclassified.java | Class |
A filter that removes instances which are incorrectly classified. |
| RemovePercentage.java | Class |
A filter that removes a given percentage of a dataset.
Valid options are:
-P <percentage>
Specifies percentage of instances to select. |
| RemoveRange.java | Class |
A filter that removes a given range of instances of a dataset.
Valid options are:
-R <inst1,inst2-inst4,...>
Specifies list of instances to select. |
| RemoveWithValues.java | Class |
Filters instances according to the value of an attribute.
Valid options are:
-C <num>
Choose attribute to be used for selection.
-S <num>
Numeric value to be used for selection on numeric
attribute.
Instances with values smaller than given value will
be selected. |
| Resample.java | Class |
Produces a random subsample of a dataset using either sampling with replacement or without replacement. |
| SparseToNonSparse.java | Class |
An instance filter that converts all incoming sparse instances into non-sparse format. |