4 Art�culos

Improving Clustering Accuracy of K-Means and Random Swap by an Evolutionary Technique Based on Careful Seeding

Acceso

en l�nea

Libero Nigro and Franco Cicirelli

K-Means is a ?de facto? standard clustering algorithm due to its simplicity and efficiency. K-Means, though, strongly depends on the initialization of the centroids (seeding method) and often gets stuck in a local sub-optimal solution. K-Means, in fact, ... ver m�s

Revista: Algorithms Formato: Electr�nico

Tabla de contenido: Vol: 16 Num: 0 Par: 12 A�o: 2023

Two Medoid-Based Algorithms for Clustering Sets

Acceso

en l�nea

Libero Nigro and Pasi Fr�nti

This paper proposes two algorithms for clustering data, which are variable-sized sets of elementary items. An example of such data occurs in the analysis of a medical diagnosis, where the goal is to detect human subjects who share common diseases to poss... ver m�s

Revista: Algorithms Formato: Electr�nico

Tabla de contenido: Vol: 16 Num: 0 Par: 7 A�o: 2023

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