# On the clustering behavior of sliding windows

arXiv: https://arxiv.org/abs/2503.14393 · HTML: https://mlsanity.com/paper/2503.14393/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 6 references that are in the map.
- First posted on arXiv 18 Mar 2025.

## Abstract (arXiv)

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.