fakenmc/amvidc
Clustering with minimum volume increase (MVI) and minimum direction change (MDC) clustering criteria
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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
Acknowledgements
Inspired by: Minimum Volume Enclosing Ellipsoid, Plot an ellipse in "center form"
General Information
- Version 1.3.0.1 (114 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | 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) |
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| 1.2.0.0 | Link to GitHub repository using new File Exchange native GitHub feature. |
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| 1.1.0.0 | Inform that user manual is available at GitHub page. |
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| 1.0.0.0 |
