The utility of clusters and a Hungarian clustering algorithm.

Implicit in the k-means algorithm is a way to assign a value, or utility, to a cluster of points. It works by taking the centroid of the points and the value of the cluster is the sum of distances from the centroid to each point in the cluster. The aim in this paper is to introduce an alternative wa...

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Detalles Bibliográficos
Autores principales: Alfred Kume, Stephen G Walker
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/26f2d87c175d4debbe0dcd8fb0cf07ae
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