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...

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Váldodahkkit:	Azam Amin, Mohsen Jahanshahi, Mohammad Reza Meybodi
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	MDPI AG 2023-09-01
Ráidu:	Applied Sciences
Fáttát:	clustering method learning automata (LA) k-Harmonic means (KHM) controller placement problem (CPP) software-defined network (SDN)
Liŋkkat:	https://www.mdpi.com/2076-3417/13/18/10073
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