Find Optimal Number of Clusters — optimal_clusters • tidylearn

Use multiple methods to suggest optimal k

Usage

optimal_clusters(data, max_k = 10, methods = c("silhouette", "gap", "wss"))

Arguments

data: A data frame or tibble
max_k: Maximum k to test (default: 10)
methods: Vector of methods: "silhouette", "gap", "wss" (default: all)

Value

A list of class "optimal_k_results" containing one or more of:

wss: tibble from calc_wss (if "wss" method used)
silhouette: tibble from tidy_silhouette_analysis (if "silhouette" method used)
gap: a tidy_gap object from tidy_gap_stat (if "gap" method used)

Examples

# \donttest{
opt <- optimal_clusters(iris[, 1:4], max_k = 6, methods = "wss")
# }