Outcome from NMFk analysis. (A) The Silhouette-Reconstruction
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Download scientific diagram | Outcome from NMFk analysis. (A) The Silhouette-Reconstruction criterium (see the Methods Section). On the x-axis is denoted the number of basis lipid configurations and on the y-axis-the average Silhouettes (right y-axis, red marking) as from publication: Unsupervised Machine Learning for Analysis of Coexisting Lipid Phases and Domain Growth in Biological Membranes | Phase separation in mixed lipid systems has been extensively studied both experimentally and theoretically because of its biological importance. A detailed description of such complex systems undoubtedly requires novel mathematical frameworks that are capable to decompose and | Unsupervised Machine Learning, Lipids and Biological Membranes | ResearchGate, the professional network for scientists.
![Outcome from NMFk analysis. (A) The Silhouette-Reconstruction](https://www.researchgate.net/profile/Shashank-Mehrotra-2/publication/331357596/figure/tbl1/AS:730654782287881@1551213083359/Number-of-crashes-per-year-for-the-analysis_Q320.jpg)
Outcome from NMFk analysis. (A) The Silhouette-Reconstruction criterium
![Outcome from NMFk analysis. (A) The Silhouette-Reconstruction](https://www.researchgate.net/profile/Gopinath-Chennupati/publication/339131040/figure/tbl1/AS:882568593412100@1587432158437/Notations_Q320.jpg)
NMFk with resampling of initial matrix, A
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Uncovering acoustic signatures of pore formation in laser powder bed fusion
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k Scaling for clustering and Silhouette—The runtimes of clustering and
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NMFk results for reconstruction quality and solution robustness (based
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Blind source separation for groundwater pressure analysis based on nonnegative matrix factorization - Alexandrov - 2014 - Water Resources Research - Wiley Online Library
![Outcome from NMFk analysis. (A) The Silhouette-Reconstruction](https://www.biorxiv.org/content/biorxiv/early/2019/02/12/527630/F5.medium.gif)
Unsupervised Machine Learning for Analysis of Coexisting Lipid Phases and Domain Growth in Biological Membranes
![Outcome from NMFk analysis. (A) The Silhouette-Reconstruction](https://www.mdpi.com/sensors/sensors-22-00925/article_deploy/html/images/sensors-22-00925-g004.png)
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Unsupervised Machine Learning for Analysis of Coexisting Lipid Phases and Domain Growth in Biological Membranes
![Outcome from NMFk analysis. (A) The Silhouette-Reconstruction](https://www.mdpi.com/sensors/sensors-22-00925/article_deploy/html/images/sensors-22-00925-g007-550.jpg)
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