predict {arules} | R Documentation |
Provides the S4 method
predict
for itemMatrix
(e.g., transactions).
Predicts the membership (nearest neighbor) of new data to
clusters represented by
medoids or labeled examples.
## S4 method for signature 'itemMatrix': predict(object, newdata, labels = NULL, ...)
object |
medoids (no labels needed) or examples (labels needed). |
newdata |
objects to predict labels for. |
labels |
"numeric" ; labels for the examples in object . |
... |
further arguments (currently unused). |
An integer vector of the same length as newdata
containing the predicted labels for each element.
data("Adult") ### sample small <- sample(Adult, 500) large <- sample(Adult, 5000) ### cluster a small sample d_jaccard <- dissimilarity(small) hc <- hclust(d_jaccard) l <- cutree(hc, k=4) ### predict labels for a larger sample labels <- predict(small, large, l) ### plot the profile of the 1. cluster itemFrequencyPlot(large[labels==1, itemFrequency(large) > 0.1])