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 


Author  Mitchell Lyons [aut, cre] 
Maintainer  Mitchell Lyons <[email protected]> 
License  GPL3 
Version  0.2.0 
URL  https://github.com/mitchest/optimus/ 
Package repository  View on CRAN 
Installation 
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