| Class | Description |
|---|---|
| PreconstructedMissingValuesReplacer |
Preconstructed filter for replacing missing values with mean/mode
|
| PreConstructedPCA |
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. |