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.
View on arXiv@article{alexeev2025_2503.14393,
title={ On the clustering behavior of sliding windows },
author={ Boris Alexeev and Wenyan Luo and Dustin G. Mixon and Yan X Zhang },
journal={arXiv preprint arXiv:2503.14393},
year={ 2025 }
}