BouzidiImen/ClusteringR: Clustering package

Its functionality includes exploratory data analysis, data segmentation and data visualization.It is designed to handle realistic data sets : hedonic data set and sensory data set. It makes use of several clustering methods as well as the implementation of partition-validity approach. Finally, a graphical user interface is implemented with R shiny in order to propose a user friendly package.

Getting started

Package details

AuthorBouzidi Imen <[email protected]>
MaintainerPackage maintainer <[email protected]>
LicenseGPL-3
Version0.1.0
URL https://github.com/BouzidiImen/ClusteringR
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("BouzidiImen/ClusteringR")
BouzidiImen/ClusteringR documentation built on June 3, 2019, 5:47 p.m.