scheme_sub_hc: Subsampling-based Hierarchical Clustering

In bootcluster: Bootstrapping Estimates of Clustering Stability

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

bootcluster documentation built on April 3, 2025, 7:45 p.m.