Data Mining Algorithms In R/Packages/RWeka/Predict Weka Clusterer
Description
[edit | edit source]Predict class ids or memberships based on fitted Weka clusterers.
Usage
[edit | edit source]predict(object, newdata = NULL, type = c("class_ids", "memberships"), ...)
Arguments
[edit | edit source]object, an object of class inheriting from Weka_clusterer.
newdata, an optional data set for predictions are sought. This must be given for predicting class memberships. If omitted or NULL, the training instances are used for predicting class ids.
type, a character string indicating whether class ids or memberships should be returned.
Further arguments passed to or from other methods.
Details
[edit | edit source]It is only possible to predict class memberships if theWeka clusterer provides a distributionForInstance method.