mitchest/optimus: Model Based Diagnostics for Multivariate Cluster Analysis
Version 0.2.0

Assessment and diagnostics for comparing competing clustering solutions, using predictive models. The main intended use is for comparing clustering/classification solutions of ecological data (e.g. presence/absence, counts, ordinal scores) to 1) find an optimal partitioning solution, 2) identify characteristic species and 3) refine a classification by merging clusters that increase predictive performance. However, in a more general sense, this package can do the above for any set of clustering solutions for i observations of j variables.

Getting started

Package details

MaintainerMitchell Lyons <[email protected]>
LicenseGPL-3
Version0.2.0
URL https://github.com/mitchest/optimus/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("mitchest/optimus")
mitchest/optimus documentation built on Jan. 21, 2018, 10:57 a.m.