Principal component analysis

A co-kurtosis PCA based dimensionality reduction with nonlinear reconstruction using neural networks
For turbulent reacting flow systems, identification of low-dimensional representations of the thermo-chemical state space is vitally …
Cite DOI URL
A co-kurtosis based dimensionality reduction method for combustion datasets
Principal Component Analysis (PCA) is a dimensionality reduction technique widely used to reduce the computational cost associated with …
Cite DOI URL