Description Usage Arguments Value
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 |
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