2017
High-dimensional Time Series Clustering via Cross-Predictability
AISTATS 2017poster
The key to time series clustering is how to characterize the similarity between any two time series. In this paper, we explore a new similarity metric called “cross-predictability”: the degree to which a future value in each time series is predicted by past values of the others. However, it is cha…