clu_tune: Clustering tuning (intrinsic metric)

In daltoolbox: Leveraging Experiment Lines to Data Analytics

Clustering tuning (intrinsic metric)

Description

Tune clustering hyperparameters by evaluating an intrinsic metric over a parameter grid and selecting the elbow (max curvature).

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.

References

Satopaa, V. et al. (2011). Finding a “Kneedle” in a Haystack.

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 Nov. 5, 2025, 7:09 p.m.