fakenmc/amvidc

版本 1.3.0.1 (114.5 KB) 作者: Nuno Fachada
Clustering with minimum volume increase (MVI) and minimum direction change (MDC) clustering criteria
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更新时间 2019/8/27
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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

引用格式

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

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版本 已发布 发行说明
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

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。