David Clark

Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis

Linear dimensionality reduction methods are commonly used to extract low-dimensional structure from high-dimensional data. However, popular methods disregard temporal structure, rendering them prone to extracting noise rather than meaningful dynamics when applied to time series data. At the same tim…