On the clustering behavior of sliding windows
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866916656110895104 |
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| author | Alexeev, Boris Luo, Wenyan Mixon, Dustin G. Zhang, Yan X |
| author_facet | Alexeev, Boris Luo, Wenyan Mixon, Dustin G. Zhang, Yan X |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_14393 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | On the clustering behavior of sliding windows Alexeev, Boris Luo, Wenyan Mixon, Dustin G. Zhang, Yan X Machine Learning 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. |
| title | On the clustering behavior of sliding windows |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2503.14393 |