Genetic Elitist Approach and Density Peaks to Improve K-Means Clustering

K-Means is a well-known algorithm for unsupervised clustering, very often used due to its simplicity and efficiency. Its long-time widespread use has stimulated researchers to investigate its properties further. A critical property concerns K-Means’s strong dependence on the seeding method adopted t...

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Hlavní autoři:	Libero Nigro, Franco Cicirelli, Francesco Pupo
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-02-01
Edice:	Algorithms
Témata:	unsupervised clustering K-Means seeding methods genetic clustering density peaks k-nearest neighbors
On-line přístup:	https://www.mdpi.com/1999-4893/19/2/131
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