mitchest/optimus: Model Based Diagnostics for Multivariate Cluster Analysis

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]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
mitchest/optimus documentation built on July 13, 2018, 5:25 p.m.