An evolutionary Pentagon Support Vector finder method

•Detecting outliers is vital in data mining and classification algorithms.•In this sense, we propose an evolutionary Pentagon Support Vector finder method.•We use geometrical calculations and evolutionary clustering to make a more effective system.•Our proposed approach successfully removes outliers...

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Veröffentlicht in:	Expert systems with applications 2020-07, Vol.150, p.113284, Article 113284
Hauptverfasser:	Mousavi, Seyed Muhammad Hossein, Charles, Vincent, Gherman, Tatiana
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Bee Colony (ABC) Big data Classification Data mining Datasets Evolutionary algorithms Evolutionary clustering Fuzzy C means (FCM) Outliers (statistics) Pentagon Support Vector finder (PSV) Support vector
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