K <- 10 ## Num clusters
result <- lda.collapsed.gibbs.sampler(cora.documents,
K, ## Num clusters
cora.vocab,
25, ## Num iterations
0.1,
0.1,
compute.log.likelihood=TRUE)
## Get the top words in the cluster
top.words <- top.topic.words(result$topics, 5, by.score=TRUE)