tidy_pam: Tidy PAM (Partitioning Around Medoids)

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

Tidy PAM (Partitioning Around Medoids)

Description

Performs PAM clustering with tidy output

Usage

tidy_pam(data, k, metric = "euclidean", cols = NULL)

Arguments

data	A data frame, tibble, or dist object
k	Number of clusters
metric	Distance metric (default: "euclidean"). Use "gower" for mixed data types.
cols	Columns to include (tidy select). If NULL, uses all columns.

Value

A list of class "tidy_pam" containing:

• clusters: tibble with observation IDs and cluster assignments

• medoids: tibble of medoid indices and values

• silhouette: average silhouette width

• model: original pam object

Examples

# PAM with Euclidean distance
pam_result <- tidy_pam(iris, k = 3)

# PAM with Gower distance for mixed data
pam_result <- tidy_pam(mtcars, k = 3, metric = "gower")

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