fakenmc/amvidc

Versión 1.3.0.1 (114 KB) por Nuno Fachada
Clustering with minimum volume increase (MVI) and minimum direction change (MDC) clustering criteria
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Actualizado 27 ago 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

Citar como

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

Compatibilidad con la versión de MATLAB
Se creó con R2011b
Compatible con cualquier versión
Compatibilidad con las plataformas
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Versión Publicado Notas de la versión
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

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.