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Global Considerations in Hierarchical Clustering Reveal Meaningful Patterns in Data

BACKGROUND: A hierarchy, characterized by tree-like relationships, is a natural method of organizing data in various domains. When considering an unsupervised machine learning routine, such as clustering, a bottom-up hierarchical (BU, agglomerative) algorithm is used as a default and is often the on...

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Detalles Bibliográficos
Autores principales: Varshavsky, Roy, Horn, David, Linial, Michal
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375056/
https://www.ncbi.nlm.nih.gov/pubmed/18493326
http://dx.doi.org/10.1371/journal.pone.0002247

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