The utility of clusters and a Hungarian clustering algorithm

The utility of clusters and a Hungarian clustering algorithm

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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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Bibliographic Details
Main Authors:	Alfred Kume, Stephen G. Walker
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2021-01-01
Series:	PLoS ONE
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336801/?tool=EBI

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