scheme_sub_km {bootcluster}R Documentation

Subsampling-based K-means Clustering

Description

Subsampling-based K-means Clustering

Usage

scheme_sub_km(df, nk, B = 10, cut_ratio = 0.5, r = 5)

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)

r

number of k-means runs (default: 5)

Value

List containing clustering results and stability measures


[Package bootcluster version 0.4.2 Index]