Welcome to the documentation for Dynamical Components Analysis (DCA)!¶
Dynamical Components Analysis is a method for performing linear dimensionality reduction on time series data which seeks to find the low-dimensional subspace that has high dynamical complexity. The library described here (dca) implements the models and analyses used in the paper [Clark2019].
D.G. Clark*, J. A. Livezey*, and K. E. Bouchard. Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis. In Advances in Neural Information Processing Systems. (2019).