sse_total {tidyclust} | R Documentation |
Compute the total sum of squares
Description
Compute the total sum of squares
Usage
sse_total(object, ...)
## S3 method for class 'cluster_spec'
sse_total(object, ...)
## S3 method for class 'cluster_fit'
sse_total(object, new_data = NULL, dist_fun = NULL, ...)
## S3 method for class 'workflow'
sse_total(object, new_data = NULL, dist_fun = NULL, ...)
sse_total_vec(object, new_data = NULL, dist_fun = Rfast::dista, ...)
Arguments
object |
A fitted kmeans tidyclust model |
... |
Other arguments passed to methods. |
new_data |
A dataset to predict on. If |
dist_fun |
A function for calculating distances to centroids. Defaults to Euclidean distance on processed data. |
Value
A tibble with 3 columns; .metric
, .estimator
, and .estimate
.
See Also
Other cluster metric:
silhouette_avg()
,
sse_ratio()
,
sse_within_total()
Examples
kmeans_spec <- k_means(num_clusters = 5) %>%
set_engine("stats")
kmeans_fit <- fit(kmeans_spec, ~., mtcars)
sse_total(kmeans_fit)
sse_total_vec(kmeans_fit)
[Package tidyclust version 0.2.3 Index]