arules (version 1.0-12)

predict: Model Predictions

Description

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.

Usage

## S3 method for class 'itemMatrix':
predict(object, newdata, labels = NULL, blocksize = 200,\ldots)

Arguments

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 object.

blocksize

a numeric scalar indicating how much memory predict can use for big x and/or y (approx. in MB). This is only a crude approximation for 32-bit machines (64-bit architectures need double the blocksize in memory) and usi

...

further arguments passed on to dissimilarity. E.g., method.

Value

• An integer vector of the same length as newdata containing the predicted labels for each element.

See Also

dissimilarity, itemMatrix-class

Examples

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])