samrabi1/ada.classification: Classification Methods: K-means and Random Forests

This package focuses on problems related to the classification of data into clusters or groups according to the characteristics of the data themselves. Toward this end, it contains functions for convenient implementation of k-means clustering and random forest decision trees with an example data set.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("samrabi1/ada.classification")
samrabi1/ada.classification documentation built on May 23, 2020, 7:01 a.m.