clu_tune: Clustering Tune

In daltoolbox: Leveraging Experiment Lines to Data Analytics

Clustering Tune

Description

Creates an object for tuning clustering models. This object can be used to fit and optimize clustering algorithms by specifying hyperparameter ranges

Usage

clu_tune(base_model, folds = 10, ranges = NULL)

Arguments

base_model	base model for tuning
folds	number of folds for cross-validation
ranges	a list of hyperparameter ranges to explore

Value

returns a clu_tune object.

Examples

data(iris)

# fit model
model <- clu_tune(cluster_kmeans(k = 0), ranges = list(k = 1:10))

model <- fit(model, iris[,1:4])
model$k

daltoolbox documentation built on Aug. 21, 2025, 5:55 p.m.