tidy_kmeans: Tidy Output for KMeans Clustering

In UBC-MDS/sptidy: Tidy-up linear regression and kmeans model outputs

Description

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

Usage

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)

UBC-MDS/sptidy documentation built on March 23, 2021, 8:33 a.m.