On the clustering behavior of sliding windows

Code

• github.com/zhaoolee/garss
  pytorch★ 1,374

Abstract

Things can go spectacularly wrong when clustering timeseries data that has been preprocessed with a sliding window. We highlight three surprising failures that emerge depending on how the window size compares with the timeseries length. In addition to computational examples, we present theoretical explanations for each of these failure modes.

Tasks

Reproductions