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A Penalized Matrix Normal Mixture Model for Clustering Matrix Data
Along with advances in technology, matrix data, such as medical/industrial images, have emerged in many practical fields. These data usually have high dimensions and are not easy to cluster due to their intrinsic correlated structure among rows and columns. Most approaches convert matrix data to mul...
| 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/PMC8534904/ https://www.ncbi.nlm.nih.gov/pubmed/34681973 http://dx.doi.org/10.3390/e23101249 |