Combined Mapping of Multiple clUsteriNg ALgorithms (COMMUNAL): A Robust Method for Selection of Cluster Number, K

In order to discover new subsets (clusters) of a data set, researchers often use algorithms that perform unsupervised clustering, namely, the algorithmic separation of a dataset into some number of distinct clusters. Deciding whether a particular separation (or number of clusters, K) is correct is a...

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Detalles Bibliográficos
Autores principales: Sweeney, Timothy E., Chen, Albert C., Gevaert, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4652212/
https://www.ncbi.nlm.nih.gov/pubmed/26581809
http://dx.doi.org/10.1038/srep16971

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4652212/
https://www.ncbi.nlm.nih.gov/pubmed/26581809
http://dx.doi.org/10.1038/srep16971

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