{"ID":2852488,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.01873","arxiv_id":"2511.01873","title":"Effectiveness of High-Dimensional Distance Metrics on Solar Flare Time Series","abstract":"Solar-flare forecasting has been extensively researched yet remains an open problem. In this paper, we investigate the contributions of elastic distance measures for detecting patterns in the solar-flare dataset, SWAN-SF. We employ a simple $k$-medoids clustering algorithm to evaluate the effectiveness of advanced, high-dimensional distance metrics. Our results show that, despite thorough optimization, none of the elastic distances outperform Euclidean distance by a significant margin. We demonstrate that, although elastic measures have shown promise for univariate time series, when applied to the multivariate time series of SWAN-SF, characterized by the high stochasticity of solar activity, they effectively collapse to Euclidean distance. We conduct thousands of experiments and present both quantitative and qualitative evidence supporting this finding.","short_abstract":"Solar-flare forecasting has been extensively researched yet remains an open problem. In this paper, we investigate the contributions of elastic distance measures for detecting patterns in the solar-flare dataset, SWAN-SF. We employ a simple $k$-medoids clustering algorithm to evaluate the effectiveness of advanced, hig...","url_abs":"https://arxiv.org/abs/2511.01873","url_pdf":"https://arxiv.org/pdf/2511.01873v1","authors":"[\"Elaina Rohlfing\",\"Azim Ahmadzadeh\",\"V Aparna\"]","published":"2025-10-21T22:58:40Z","proceeding":"astro-ph.SR","tasks":"[\"astro-ph.SR\",\"cs.LG\"]","methods":"[]","has_code":false}