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 |
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Maintainer | Mitchell Lyons <mitchell.lyons@gmail.com> |
License | GPL-3 |
Version | 0.2.0 |
URL | https://github.com/mitchest/optimus/ |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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