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Semi-supervised clustering methods
Cluster analysis methods seek to partition a data set into homogeneous subgroups. It is useful in a wide variety of applications, including document processing and modern genetics. Conventional clustering methods are unsupervised, meaning that there is no outcome variable nor is anything known about...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2013
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3979639/ https://ncbi.nlm.nih.gov/pubmed/24729830 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/wics.1270 |
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