Model Predictions
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, blocksize = 200,...)
object |
medoids (no labels needed) or examples (labels needed). |
newdata |
objects to predict labels for. |
labels |
an integer vector containing the labels for the examples in
|
blocksize |
a numeric scalar indicating how much memory predict can
use for big |
... |
further arguments passed on to |
An integer vector of the same length as newdata
containing the predicted labels for each element.
Michael Hahsler
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])
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