most citedHierarchical Higher-Order Dynamic Mode Decomposition for Clustering and Feature Selection

2 citations · 5 across the 3 of their papers we have counts for

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physics.flu-dyn2023★ 2 cited

Hierarchical Higher-Order Dynamic Mode Decomposition for Clustering and Feature Selection

Adrián Corrochano, Giuseppe D'Alessio, Alessandro Parente +1

In this work, a new algorithm based on the application of higher-order dynamic mode decomposition (HODMD) is proposed for feature selection and variables clustering in reacting flo…

physics.flu-dyn2022★ 1 cited

Local manifold learning and its link to domain-based physics knowledge

Kamila Zdybał, Giuseppe D'Alessio, Antonio Attili +3

In many reacting flow systems, the thermo-chemical state-space is known or assumed to evolve close to a low-dimensional manifold (LDM). Various approaches are available to obtain t…