Consensus Clustering-Based Undersampling Approach to Imbalanced Learning

• Published in: Scientific programming Vol. 2019; no. 2019; pp. 1 - 14
• Main Author: Onan, Aytuğ
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2019; Hindawi; John Wiley & Sons, Inc
• Subjects: Algorithms; Artificial intelligence; Bankruptcy; Bayesian analysis; Classification; Clustering; Data mining; Datasets; Empirical analysis; Identification; Information science; Learning; Machine learning; Malware; Medical diagnosis; Performance prediction; Regression analysis; Self organizing maps; Support vector machines; Teaching methods

Class imbalance is an important problem, encountered in machine learning applications, where one class (named as, the minority class) has extremely small number of instances and the other class (referred as, the majority class) has immense quantity of instances. Imbalanced datasets can be of great i...