dwalke44/customerClusters: Quickly Data Processing, Clustering, and Modeling

This package provides two primary functions. The first will process a numeric dataframe so that it can be entered into clustering or other ML algorithms. The second function can take input from the first, performs HDBSCAN clustering, and then trains a random forest object to model the cluster solution and provide assignment capabilities for new observations.

Getting started

Package details

AuthorDaniel Walker, Ph.D.
MaintainerDaniel Walker, Ph.D. <Daniel.Walker@jtv.com>
Licensefile LICENSE
Version0.0.0.9000
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("dwalke44/customerClusters")
dwalke44/customerClusters documentation built on May 28, 2019, 12:02 p.m.