Tidy Output for KMeans Clustering

Creates a tidy dataframe containing information at the cluster level for a kmeans clustering algorithm

tidy_kmeans(Model, X)

Arguments

Model	A kmeans object created by stats::kmeans().
X	data.frame of the original data set.

Value

tibble of infomration associated with each cluster

Examples

library(dplyr)
library(sptidy)

data(iris)
data <- iris %>% select(-Species)
kclust <- kmeans(data, centers = 3)
tidy_kmeans(kclust, data)
#> # A tibble: 3 x 3
#>   cluster_number cluster_center n_points
#>            <int> <list>            <int>
#> 1              1 <dbl [3]>            33
#> 2              2 <dbl [3]>            21
#> 3              3 <dbl [3]>            96