AMVIDC is a data clustering algorithm based on agglomerative hierarchical clustering (AHC) which uses minimum volume increase (MVI) and minimum direction change (MDC) as clustering criteria. The algorithm is described in detail in the following publication:
Fachada, N., Figueiredo, M.A.T., Lopes, V.V., Martins, R.C., Rosa, A.C., Spectrometric differentiation of yeast strains using minimum volume increase and minimum direction change clustering criteria, Pattern Recognition Letters, vol. 45, pp. 55-61 (2014), doi: http://dx.doi.org/10.1016/j.patrec.2014.03.008
Code and user manual also available at GitHub: https://github.com/fakenmc/amvidc
- Fix ellipsoid volume calculation (acknowledgments to Dr. Randy J. Pell for discovering this bug)
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Inform that user manual is available at GitHub page.
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