[R] pseudo code

Hey there! I got a pseudo code and don't know how to apply it to R, maybe someone can help me: Input: A dataset X, kmax: maximum number of clusters, num_subsamples: number of subsamples. Output: S(i; k) - a distribution of similarities between partitions into k clusters of a reference

Re: [R] pseudo code

Requires: T = cluster(X): A hierarchical clustering algorithm L = cut-tree(T; k): produces a partition with k non-singleton clusters The functions you'll want to read the documentation to, here, are hclust() and cutree(). They're fairly straightforward and nicely documented. It looks like