fakenmc/amvidc

Clustering with minimum volume increase (MVI) and minimum direction change (MDC) clustering criteria

https://github.com/nunofachada/amvidc

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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

Información general

Compatibilidad con la versión de MATLAB

  • Compatible con cualquier versión

Compatibilidad con las plataformas

  • Windows
  • macOS
  • Linux

No se pueden descargar versiones que utilicen la rama predeterminada de GitHub

Versión Publicado Notas de la versión Action
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.