tidy_clara: Tidy CLARA (Clustering Large Applications)

In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem

Tidy CLARA (Clustering Large Applications)

Description

Performs CLARA clustering (scalable version of PAM)

Usage

tidy_clara(data, k, metric = "euclidean", samples = 50, sampsize = NULL)

Arguments

data	A data frame or tibble
k	Number of clusters
metric	Distance metric (default: "euclidean")
samples	Number of samples to draw (default: 50)
sampsize	Sample size (default: min(n, 40 + 2*k))

Value

A list of class "tidy_clara" containing clustering results

Examples

# CLARA for large datasets
large_data <- iris[rep(1:nrow(iris), 10), 1:4]
clara_result <- tidy_clara(large_data, k = 3, samples = 50)
print(clara_result)

tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.