arXiv · 2503.14393
On the clustering behavior of sliding windows
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.
Explore related subjects
Keep this discovery
Boris Alexeev, Wenyan Luo, Dustin G. Mixon, Yan X Zhang. 2025-03-18. On the clustering behavior of sliding windows. https://arxiv.org/abs/2503.14393
Cite the original work for its findings. Save a collection to share your selection of sources.