Improved Learning-Automata-Based Clustering Method for Controlled Placement Problem in SDN

Clustering, an unsupervised machine learning technique, plays a crucial role in partitioning unlabeled data into meaningful groups. K-means, known for its simplicity, has gained popularity as a clustering method. However, both K-means and the LAC algorithm, which utilize learning automata, are sensi...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Azam Amin, Mohsen Jahanshahi, Mohammad Reza Meybodi
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2023-09-01
Serie:	Applied Sciences
Soggetti:	clustering method learning automata (LA) k-Harmonic means (KHM) controller placement problem (CPP) software-defined network (SDN)
Accesso online:	https://www.mdpi.com/2076-3417/13/18/10073
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!