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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.06938 |
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| _version_ | 1866929496283676672 |
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| author | Yue, Zuogong Solo, Victor |
| author_facet | Yue, Zuogong Solo, Victor |
| contents | We develop hard clustering based on likelihood rather than distance and prove convergence. We also provide simulations and real data examples. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_06938 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | k-MLE, k-Bregman, k-VARs: Theory, Convergence, Computation Yue, Zuogong Solo, Victor Machine Learning We develop hard clustering based on likelihood rather than distance and prove convergence. We also provide simulations and real data examples. |
| title | k-MLE, k-Bregman, k-VARs: Theory, Convergence, Computation |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2409.06938 |