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.
Boris Alexeev, Wenyan Luo, Dustin G. Mixon, and Yan X Zhang
On the clustering behavior of sliding windows
![]() | Direct PDF link |
![]() | arXiv online preprint server version |