Oversampling Method Based on Gaussian Distribution and K-Means Clustering

Learning from imbalanced data is one of the greatest challenging problems in binary classification, and this problem has gained more importance in recent years. When the class distribution is imbalanced, classical machine learning algorithms tend to move strongly towards the majority class and disre...

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Veröffentlicht in:	Computers, materials & continua materials & continua, 2021, Vol.69 (1), p.451-469
Hauptverfasser:	Muhammed Hassan, Masoud, Sabry Eesa, Adel, Jameel Mohammed, Ahmed, Kh. Arabo, Wahab
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Cluster analysis Clustering Machine learning Model accuracy Noise control Noise generation Normal distribution Oversampling Vector quantization
Online-Zugang:	Volltext
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