optimal_hclust_k: Determine Optimal Number of Clusters for Hierarchical...
In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem
View source: R/unsupervised-hclust.R
optimal_hclust_k R Documentation
Determine Optimal Number of Clusters for Hierarchical Clustering
Description
Use silhouette or gap statistic to find optimal k
Usage
optimal_hclust_k(hclust_obj, method = "silhouette", max_k = 10)
Arguments
hclust_obj
A tidy_hclust object
method
Character; "silhouette" (default) or "gap"
max_k
Maximum number of clusters to test (default: 10)
Value
A list with optimal k and evaluation results
tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.
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View source: R/unsupervised-hclust.R
| optimal_hclust_k | R Documentation |
Determine Optimal Number of Clusters for Hierarchical Clustering
Description
Use silhouette or gap statistic to find optimal k
Usage
optimal_hclust_k(hclust_obj, method = "silhouette", max_k = 10)
Arguments
hclust_obj |
A tidy_hclust object |
method |
Character; "silhouette" (default) or "gap" |
max_k |
Maximum number of clusters to test (default: 10) |
Value
A list with optimal k and evaluation results
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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