Data-driven methods in fluid dynamics: Sparse classification from experimental data

Bai, Z., Brunton, S. L., Brunton, B. W., Kutz, J. N., Kaiser, E., Spohn, A., & Noack, B. R. (2016). Data-driven methods in fluid dynamics: Sparse classification from experimental data. In Whither Turbulence and Big Data in the 21st Century? (pp. 323–342). Springer International Publishing. https://doi.org/10.1007/978-3-319-41217-7_17