R - cluster analysis on binary weblog data -


i have web data looks similar sample below. has user , binary value whether user cliked on particular link within website. wanted clustering of data. main goal find similar users based on online behaviour. clustering alorithm this? have tried k-means not work binary data. have tried spherical k-means skmeans(). wanted sum of squared error scree plot, not figure out how sse skmeans.

   user   link1 link2 link3 link4     abc1     0     1     1     1     abc2     1     0     1     0     abc3     0     1     1     1     abc4     1     0     1     0

you try hierarchical clustering using binary distance measure jaccard, if "clicked link" asymmetrical: 

dat <- read.table(header = true, row.names = 1, text = "user   link1 link2 link3 link4 abc1     0     1     1     1 abc2     1     0     1     0 abc3     0     1     1     1 abc4     1     0     1     0") d <- dist(dat, method = "binary") hc <- hclust(d) plot(hc)

enter image description here

(clusters <- cutree(hc, k = 2)) # abc1 abc2 abc3 abc4  #    1    2    1    2

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