Jacek Dmochowski

Granger Components Analysis: Unsupervised learning of latent temporal dependencies

A new technique for unsupervised learning of time series data based on the notion of Granger causality is presented. The technique learns pairs of projections of a multivariate data set such that the resulting components -- "driving" and "driven" -- maximize the strength of the Granger causality bet…