Benjamin-Couey/CS599.RPackageTwo: Run basic unsupervised learning algorithms

As a project for CS599 Unsupervised Learning, I built this package of simple unsupervised learning algorithms. Specifically, this package provides a simple implementation of principal component analysis to perform dimensionality reduction and a simple implementation of dynamic programming to perform changepoint detection. Note, while these algorithms work, they are more limited in options and less efficient than those algoirthms found in other, more proffessional packages.

Getting started

Package details

Maintainer
LicenseMIT + file 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("Benjamin-Couey/CS599.RPackageTwo")
Benjamin-Couey/CS599.RPackageTwo documentation built on Dec. 31, 2020, 10:45 a.m.