Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386496145> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4386496145 endingPage "10073" @default.
- W4386496145 startingPage "10073" @default.
- W4386496145 abstract "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 sensitive to the selection of initial points. To overcome this limitation, we propose an enhanced LAC algorithm based on the K-Harmonic means approach. We evaluate its performance on seven datasets and demonstrate its superiority over other representative algorithms. Moreover, we tailor this algorithm to address the controller placement problem in software-defined networks, a critical field in this context. To optimize relevant parameters such as switch–controller delay, intercontroller delay, and load balancing, we leverage learning automata. In our comparative analysis conducted in Python, we benchmark our algorithm against spectral, K-means, and LAC algorithms on four different network topologies. The results unequivocally show that our proposed algorithm outperforms the others, achieving a significant improvement ranging from 3 to 11 percent. This research contributes to the advancement of clustering techniques and their practical application in software-defined networks." @default.
- W4386496145 created "2023-09-07" @default.
- W4386496145 creator A5008824437 @default.
- W4386496145 creator A5012072806 @default.
- W4386496145 creator A5018328667 @default.
- W4386496145 date "2023-09-07" @default.
- W4386496145 modified "2023-10-16" @default.
- W4386496145 title "Improved Learning-Automata-Based Clustering Method for Controlled Placement Problem in SDN" @default.
- W4386496145 cites W1987111416 @default.
- W4386496145 cites W1993046026 @default.
- W4386496145 cites W2003004389 @default.
- W4386496145 cites W2027443997 @default.
- W4386496145 cites W2043570835 @default.
- W4386496145 cites W2064018461 @default.
- W4386496145 cites W2065189960 @default.
- W4386496145 cites W2149230623 @default.
- W4386496145 cites W2165835468 @default.
- W4386496145 cites W2338134760 @default.
- W4386496145 cites W2460959228 @default.
- W4386496145 cites W2482438884 @default.
- W4386496145 cites W2546287160 @default.
- W4386496145 cites W2549601578 @default.
- W4386496145 cites W2569929970 @default.
- W4386496145 cites W2582525364 @default.
- W4386496145 cites W2587851609 @default.
- W4386496145 cites W2595975380 @default.
- W4386496145 cites W2755199268 @default.
- W4386496145 cites W2895705061 @default.
- W4386496145 cites W2913472037 @default.
- W4386496145 cites W3010801798 @default.
- W4386496145 cites W3084909219 @default.
- W4386496145 cites W3122953072 @default.
- W4386496145 cites W3132497668 @default.
- W4386496145 cites W4212923585 @default.
- W4386496145 cites W4214508134 @default.
- W4386496145 cites W4220765839 @default.
- W4386496145 cites W4234486070 @default.
- W4386496145 cites W4281749723 @default.
- W4386496145 cites W4293224815 @default.
- W4386496145 cites W4312971918 @default.
- W4386496145 doi "https://doi.org/10.3390/app131810073" @default.
- W4386496145 hasPublicationYear "2023" @default.
- W4386496145 type Work @default.
- W4386496145 citedByCount "0" @default.
- W4386496145 crossrefType "journal-article" @default.
- W4386496145 hasAuthorship W4386496145A5008824437 @default.
- W4386496145 hasAuthorship W4386496145A5012072806 @default.
- W4386496145 hasAuthorship W4386496145A5018328667 @default.
- W4386496145 hasBestOaLocation W43864961451 @default.
- W4386496145 hasConcept C111919701 @default.
- W4386496145 hasConcept C112505250 @default.
- W4386496145 hasConcept C119857082 @default.
- W4386496145 hasConcept C124101348 @default.
- W4386496145 hasConcept C154945302 @default.
- W4386496145 hasConcept C199845137 @default.
- W4386496145 hasConcept C2776807809 @default.
- W4386496145 hasConcept C41008148 @default.
- W4386496145 hasConcept C519991488 @default.
- W4386496145 hasConcept C73555534 @default.
- W4386496145 hasConcept C97541855 @default.
- W4386496145 hasConceptScore W4386496145C111919701 @default.
- W4386496145 hasConceptScore W4386496145C112505250 @default.
- W4386496145 hasConceptScore W4386496145C119857082 @default.
- W4386496145 hasConceptScore W4386496145C124101348 @default.
- W4386496145 hasConceptScore W4386496145C154945302 @default.
- W4386496145 hasConceptScore W4386496145C199845137 @default.
- W4386496145 hasConceptScore W4386496145C2776807809 @default.
- W4386496145 hasConceptScore W4386496145C41008148 @default.
- W4386496145 hasConceptScore W4386496145C519991488 @default.
- W4386496145 hasConceptScore W4386496145C73555534 @default.
- W4386496145 hasConceptScore W4386496145C97541855 @default.
- W4386496145 hasIssue "18" @default.
- W4386496145 hasLocation W43864961451 @default.
- W4386496145 hasOpenAccess W4386496145 @default.
- W4386496145 hasPrimaryLocation W43864961451 @default.
- W4386496145 hasRelatedWork W260766989 @default.
- W4386496145 hasRelatedWork W2959276766 @default.
- W4386496145 hasRelatedWork W2961085424 @default.
- W4386496145 hasRelatedWork W3074294383 @default.
- W4386496145 hasRelatedWork W3139193008 @default.
- W4386496145 hasRelatedWork W4206669594 @default.
- W4386496145 hasRelatedWork W4236262953 @default.
- W4386496145 hasRelatedWork W4295941380 @default.
- W4386496145 hasRelatedWork W4306674287 @default.
- W4386496145 hasRelatedWork W4319083788 @default.
- W4386496145 hasVolume "13" @default.
- W4386496145 isParatext "false" @default.
- W4386496145 isRetracted "false" @default.
- W4386496145 workType "article" @default.