multi_pam_gen: Multiple PAM (K-medoids) generation

In ConsensusClustering: Consensus Clustering

Multiple PAM (K-medoids) generation

Description

Multiple PAM (K-medoids) generation

Usage

multi_pam_gen(
  X,
  rep = 10,
  range.k = c(2, 5),
  is.distance = FALSE,
  method = "random"
)

Arguments

X	input data Nsample x Nfeatures or distance matrix.
rep	number of repeats
range.k	vector of minimum and maximum values for k c(min, max)
is.distance	binary balue indicating if the input X is distance
method	method for the choice of k at each repeat c("random", "silhouette")

Details

At each repeat, k is selected randomly or based on the best silhouette width from a discrete uniform distribution between range.k[1] and range.k[2]. Then PAM clustering is applied and result is returned.

Value

matrix of clusterings Nsample x Nrepeat

Examples

X = gaussian_clusters()$X
Clusters = multi_pam_gen(X)

ConsensusClustering documentation built on Sept. 11, 2024, 6:38 p.m.