bfcluster: Birkhoff-Fan clustering
In zhifeiyan/bfcluster: Birkhoff-Fan Clustering

This function computes a solution sequence of the Birkhoff-Fan clustering. It takes a symmetric matrix S as input and returns a object containing a list of normalized clustering matrices estimated by Birkhoff-Fan clustering over a sequence of the number of clusters.

1 2	bfcluster(S, nclust = as.integer(c()), maxiter = 100L, tolerance = 0.01, admm_penalty = 100, verbose = 0L)

`S`	input pairwise similarity matrix (assumed to be symmetric)
`nclust`	a vector of the number of clusters
`maxiter`	max number of iterations for each solution
`tolerance`	convergence threshold
`admm_penalty`	penalty parameter of ADMM algorithm
`verbose`	level of verbosity

An S3 object of class bfcluster which is a list with the following components:

`nclust`	a vector containing the number of clusters of each estimate
`clustmat`	a list containing the normalized clustering matrix estimates
`maxval`	a vector of optimal objective function values for each value of the number of clusters
`niter`	a vector containing the number of ADMM iterations for each estimate