fakenmc/amvidc

Version 1.3.0.1 (114 KB) von Nuno Fachada
Clustering with minimum volume increase (MVI) and minimum direction change (MDC) clustering criteria
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Aktualisiert 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

Zitieren als

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

Kompatibilität der MATLAB-Version
Erstellt mit R2011b
Kompatibel mit allen Versionen
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Versionen, die den GitHub-Standardzweig verwenden, können nicht heruntergeladen werden

Version Veröffentlicht Versionshinweise
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

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.