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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336801/ https://www.ncbi.nlm.nih.gov/pubmed/34347837 http://dx.doi.org/10.1371/journal.pone.0255174 |