Flexible Dirichlet Mixture Model for Multi-modal data Clustering
Clustering datasets with complex structures, such as multi-modal properties and asymmetric distributions, presents significant challenges in data analysis. To address these issues, this paper introduces the Flexible Dirichlet Mixture Model (FDMM). The model learning is accomplished through the meth...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2025-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/138970 |
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