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Model-Based Clustering with Measurement or Estimation Errors
Model-based clustering with finite mixture models has become a widely used clustering method. One of the recent implementations is MCLUST. When objects to be clustered are summary statistics, such as regression coefficient estimates, they are naturally associated with estimation errors, whose covari...
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| izdano v: | Genes (Basel) |
|---|---|
| Main Authors: | , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI
2020
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7074130/ https://ncbi.nlm.nih.gov/pubmed/32050700 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/genes11020185 |
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