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Evidence accumulation clustering using combinations of features
Evidence accumulation clustering (EAC) is an ensemble clustering algorithm that can cluster data for arbitrary shapes and numbers of clusters. Here, we present a variant of EAC in which we aimed to better cluster data with a large number of features, many of which may be uninformative. Our new metho...
Tallennettuna:
| Julkaisussa: | MethodsX |
|---|---|
| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Elsevier
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7251952/ https://ncbi.nlm.nih.gov/pubmed/32477894 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mex.2020.100916 |
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