k_means: Preform a very basic k-means clustering on a dataset.

In Ammlakh/Lab-7-Group: Basic clustering implemented by hand

Preform a very basic k-means clustering on a dataset.

Description

Preform a very basic k-means clustering on a dataset.

Usage

k_means(dat, numclusters, PCA = F)

Arguments

dat	numeric matrix to do kmeans to
numclusters	number of clusters
PCA	option to preform PCA on the data.

Value

A list containing cluster means, clustering vector, and total SSE.

Examples

iris2 <- iris %>% select(-Species)
k_means(iris2, 3, pca = T)

k_means(iris2, 4, pca = F)

Ammlakh/Lab-7-Group documentation built on June 4, 2022, 12:01 p.m.