Comprehensive validation metrics for a clustering result
Usage
calc_validation_metrics(clusters, data = NULL, dist_mat = NULL)
Arguments
- clusters
Vector of cluster assignments
- data
Original data frame (for WSS calculation)
- dist_mat
Distance matrix (for silhouette)
Value
A single-row tibble with columns k, min_size,
max_size, avg_size, and optionally avg_silhouette,
min_silhouette (if dist_mat provided), and total_wss
(if data provided).
Examples
# \donttest{
km <- kmeans(iris[, 1:4], centers = 3, nstart = 25)
d <- dist(iris[, 1:4])
metrics <- calc_validation_metrics(km$cluster, iris[, 1:4], d)
# }
