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]