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Density-equalizing Euclidean minimum spanning trees for the detection of all disease cluster shapes
Existing disease cluster detection methods cannot detect clusters of all shapes and sizes or identify highly irregular sets that overestimate the true extent of the cluster. We introduce a graph-theoretical method for detecting arbitrarily shaped clusters based on the Euclidean minimum spanning tree...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2007
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1890507/ https://ncbi.nlm.nih.gov/pubmed/17519338 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.0609457104 |
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