Papers › On the clustering behavior of sliding windows

On the clustering behavior of sliding windows

18 Mar 2025arXiv:2503.14393archive 2025-07-28

Boris Alexeev, Wenyan Luo, Dustin G. Mixon, Yan X Zhang

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.

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