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Summarizing Finite Mixture Model with Overlapping Quantification
Finite mixture models are widely used for modeling and clustering data. When they are used for clustering, they are often interpreted by regarding each component as one cluster. However, this assumption may be invalid when the components overlap. It leads to the issue of analyzing such overlaps to c...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622449/ https://www.ncbi.nlm.nih.gov/pubmed/34828201 http://dx.doi.org/10.3390/e23111503 |