sse_within {tidyclust}

Calculates Sum of Squared Error in each cluster

Description

Calculates Sum of Squared Error in each cluster

Usage

sse_within(object, new_data = NULL, dist_fun = Rfast::dista)

Arguments

object

A fitted kmeans tidyclust model

new_data

A dataset to predict on. If NULL, uses trained clustering.

dist_fun

A function for calculating distances to centroids. Defaults to Euclidean distance on processed data.

Details

sse_within_total() is the corresponding cluster metric function that returns the sum of the values given by sse_within().

Value

A tibble with two columns, the cluster name and the SSE within that cluster.

Examples

kmeans_spec <- k_means(num_clusters = 5) %>%
  set_engine("stats")

kmeans_fit <- fit(kmeans_spec, ~., mtcars)

sse_within(kmeans_fit)