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Clustering-based undersampling in class-imbalanced data
Information Sciences · 2017 · Vol. 409-410 · pp. 17–26
Wei‐Chao Lin✉(Asia University)Chih‐Fong Tsai(National Central University)Ya‐Han Hu(National Chung Cheng University)Jing-Shang Jhang(National Central University)
Imbalanced Data Classification TechniquesFace and Expression RecognitionIndustrial Vision Systems and Defect DetectionUndersamplingCluster analysisOversamplingComputer scienceArtificial intelligenceData miningPattern recognition (psychology)Classifier (UML)Clustering high-dimensional dataMachine learning
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References
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ACM Computing Surveys · 1999 · 13,065 citations
The Strength of Weak Learnability
Machine Learning · 1990 · 3,302 citations
Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance
Neural Networks · 2007 · 728 citations
Bagging Predictors
Machine Learning · 1996 · 16,689 citations
The strength of weak learnability
Machine Learning · 1990 · 2,447 citations
Bagging predictors
Machine Learning · 1996 · 16,271 citations
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