UBC-MDS/ssgkmeansr: An R package for k-means clustering

This package implements the classical unsupervised clustering method, k-means, with options for choosing the initial centroids (e.g. random and kmeans++). Users will be able to find clusters in their data, label new data, and observe the clustering results.

Getting started

Package details

Maintainer
LicenseMIT
Version4.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("UBC-MDS/ssgkmeansr")
UBC-MDS/ssgkmeansr documentation built on May 25, 2019, 1:36 p.m.