Factor Modelling for Clustering High-dimensional Time Series

Bo Zhang, Guangming Pan, Qiwei Yao +1

We propose a new unsupervised learning method for clustering a large number of time series based on a latent factor structure. Each cluster is characterized by its own cluster-spec…