Hierarchical clustering using the arithmetic-harmonic cut: complexity and experiments.

Clustering, particularly hierarchical clustering, is an important method for understanding and analysing data across a wide variety of knowledge domains with notable utility in systems where the data can be classified in an evolutionary context. This paper introduces a new hierarchical clustering pr...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Romeo Rizzi, Pritha Mahata, Luke Mathieson, Pablo Moscato
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2010
Materias:
R
Q
Acceso en línea:https://doaj.org/article/3d1c06c6ca0b43f78298ded6d8916924
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!