scheme_sub_hc {bootcluster}R Documentation

Subsampling-based Hierarchical Clustering

Description

Subsampling-based Hierarchical Clustering

Usage

scheme_sub_hc(
  df,
  nk,
  B = 20,
  cut_ratio = 0.5,
  hc.method = "ward.D",
  dist_method = "euclidean"
)

Arguments

df

data.frame or matrix of the dataset

nk

number of clusters

B

number of bootstrap samples

cut_ratio

ratio for subsampling (default: 0.5)

hc.method

hierarchical clustering method (default: "ward.D")

dist_method

distance method (default: "euclidean")

Value

List containing clustering results and stability measures


[Package bootcluster version 0.4.1 Index]