generate_method_prtrb {ConsensusClustering}

Multiple method generation

Description

Multiple method generation

Usage

generate_method_prtrb(
  X,
  cluster.method = "pam",
  range.k = c(2, 5),
  sample.k.method = "random",
  rep = 10,
  distance.method = "euclidian",
  func
)

Arguments

X

input data Nsample x Nfeatures

cluster.method

base clustering method: c("kmeans", "pam", "custom")

range.k

vector of minimum and maximum values for k c(min, max)

sample.k.method

method for the choice of k at each repeat c("random", "silhouette")

rep

number of repeats

distance.method

method for distance calculation: "euclidian", "maximum", "manhattan", "canberra", "binary", "minkowski".

func

user-definrd function required if cluster.method = "custom". The function needs two inputs of X and k.

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 clustering is applied and result is returned.

Value

matrix of clusterings Nsample x Nrepeat

Examples

X = gaussian_clusters()$X
Clusters = generate_method_prtrb(X)