A review on suppressed fuzzy c-means clustering models

Sapientia Hungarian University of Transylvania, Dept. of Electrical Engineering, Târgu Mureş, Óbuda University, University Research, Innovation and Service CenterCluj-Napoca

Lefkovits, László

Sapientia Hungarian University of Transylvania, Dept. of Electrical EngineeringCluj-Napoca, Romania

Iclanzan, David

Sapientia Hungarian University of Transylvania, Dept. of Mathematics-InformaticsCluj-Napoca, Romania

Lingua:: Inglese

Frequenza di pubblicazione:: 2 volte all'anno
Argomenti della rivista:: Informatica, Informatica, altro

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A review on suppressed fuzzy c-means clustering models

László Szilágyi

László Lefkovits

David Iclanzan

Pubblicato online: 29 gen 2021

Pagine: 302 - 324

Ricevuto: 15 nov 2020

Accettato: 21 nov 2020

DOI: https://doi.org/10.2478/ausi-2020-0018

Parole chiavefuzzy c-means algorithm, suppressed fuzzy c-means algorithm, image segmentation, data mining

© 2020 László Szilágyi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Parole chiave
fuzzy c-means algorithm, suppressed fuzzy c-means algorithm, image segmentation, data mining