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.
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