March 20, 2024, 4:42 a.m. | Siddharth Chaini, Ashish Mahabal, Ajit Kembhavi, Federica B. Bianco

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.12120v1 Announce Type: cross
Abstract: The rise of synoptic sky surveys has ushered in an era of big data in time-domain astronomy, making data science and machine learning essential tools for studying celestial objects. Tree-based (e.g. Random Forests) and deep learning models represent the current standard in the field. We explore the use of different distance metrics to aid in the classification of objects. For this, we developed a new distance metric based classifier called DistClassiPy. The direct use of …

arxiv astro-ph.im astro-ph.sr classification classifier cs.lg light type

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