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.

Package details

AuthorMitchell Lyons [aut, cre]
Date of publication2018-01-16 22:32:40 UTC
MaintainerMitchell Lyons <[email protected]>
URL https://github.com/mitchest/optimus/
Package repositoryView on CRAN
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optimus documentation built on Jan. 20, 2018, 9:40 a.m.