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Regularized matrix data clustering and its application to image analysis
We propose a novel regularized mixture model for clustering matrix-valued data. The proposed method assumes a separable covariance structure for each cluster and imposes a sparsity structure (eg, low rankness, spatial sparsity) for the mean signal of each cluster. We formulate the problem as a finit...
Gorde:
| Argitaratua izan da: | Biometrics |
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| Egile Nagusiak: | , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2020
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7884484/ https://ncbi.nlm.nih.gov/pubmed/32799339 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.13354 |
| Etiketak: |
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