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].

References

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).

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