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Data-Driven Methods in Fluid Dynamics: Sparse Classification from Experimental Data
This work explores the use of data-driven methods, including machine learning and sparse sampling, for systems in fluid dynamics. In particular, camera images of a transitional separation bubble are used with dimensionality reduction and supervised classification techniques to discriminate between a
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