fakenmc/amvidc

Version 1.3.0.1 (114 KB) by Nuno Fachada
Clustering with minimum volume increase (MVI) and minimum direction change (MDC) clustering criteria
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Updated 27 Aug 2019
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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

Cite As

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

MATLAB Release Compatibility
Created with R2011b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.3.0.1

Add paper reference
1.3.0.0

- Fix ellipsoid volume calculation (acknowledgments to Dr. Randy J. Pell for discovering this bug)
1.2.0.0

Link to GitHub repository using new File Exchange native GitHub feature.
1.1.0.0

Inform that user manual is available at GitHub page.
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.