Learn R Programming

clickstream (version 1.1.5)

predict.ClickstreamClusters: Predicts the Cluster for a Given Pattern Object

Description

Predicts the cluster for a given Pattern object. Potential clusters need to be identified with the method clusterClickstreams before predicting the cluster.

Usage

## S3 method for class 'ClickstreamClusters':
predict(object, pattern, ...)

Arguments

object
A ClickstreamClusters object containing the clusters. ClickstreamClusters represent the result of a cluster analysis on a list of clickstreams (see clusterClickstreams
pattern
Sequence of a user's initial clicks as Pattern object.
...
Ignored parameters.

Value

  • Returns the index of the clusters to which the given Pattern object most probably belongs to.

See Also

clusterClickstreams, print.ClickstreamClusters

Examples

Run this code
clickstreams <- c("User1,h,c,c,p,c,h,c,p,p,c,p,p,o",
               "User2,i,c,i,c,c,c,d",
               "User3,h,i,c,i,c,p,c,c,p,c,c,i,d",
               "User4,c,c,p,c,d",
               "User5,h,c,c,p,p,c,p,p,p,i,p,o",
               "User6,i,h,c,c,p,p,c,p,c,d")
csf <- tempfile()
writeLines(clickstreams, csf)
cls <- readClickstreams(csf, header = TRUE)
clusters <- clusterClickstreams(cls, order = 0, centers = 2)
pattern <- new("Pattern", sequence = c("h", "c"))
predict(clusters, pattern)

Run the code above in your browser using DataLab