Detecting intrinsic slow variables in stochastic dynamical systems by anisotropic diffusion maps.
Nonlinear independent component analysis is combined with diffusion-map data analysis techniques to detect good observables in high-dimensional dynamic data. These detections are achieved by integrating local principal component analysis of simulation bursts by using eigenvectors of a Markov matrix...
Главные авторы: | , , , |
---|---|
Формат: | Journal article |
Язык: | English |
Опубликовано: |
2009
|
Search Result 1
Detecting intrinsic slow variables in stochastic dynamical systems by anisotropic diffusion maps
Опубликовано 2009
Journal article