Correlation clustering in R
cluster-analysis, nlp, r
Solution
I admittedly know very little about this subject, but just to point you in a direction:
- Have you looked at the cluster package? It has very good documentation. In particular, look at help(agnes) for some suggestions. Martin Maechler (a member of the R core team) created the package and has contributed to Stack Overflow discussions before, so hopefully he'll provide an answer here.
- The hclust() function is part of the stats package. In fact, I believe that there are plans to merge hclust() and agnes().
- You may also find this page from the Bioconductor project helpful.
- Otherwise, you may have some luck looking at other packages on the CRAN Clustering, Natural Language Processing or Machine Learning views.
Problem
I'd like to use `correlation clustering` and I figure `R` is a good place to start. I can present the data to `R` as a set of large, sparse vectors or as a table with a pre-computed dissimilarity matrix. My questions are: - are there existing `R` functions to turn this into a `hierarchical cluster` with `agnes` that uses `correlation clustering`? - will I have to implement the (admittedly simple) `correlation clustering`function by hand, if so how do I make it play well with `agnes`?