Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes
Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes
Scientific and engineering processes deliver massive high-dimensional data sets that are generated as non-linear transformations of an initial state and few process parameters. Mapping such data to a low-dimensional manifold facilitates better understanding of the underlying processes, and enables their optimization. In this paper, we first show that off-theshelf non-linear …