1. The k-means Algorithm: A Comprehensive Survey and Performance Evaluation
2. A random forest guided tour
3. SMOTE: Synthetic Minority Over-sampling Technique
4. Jean-Sébastien Dessureault and Daniel Massicotte. 2022a. [2206.08974]DPDR: A novel machine learning method for the Decision Process for Dimensionality Reduction. https://arxiv.org/abs/2206.08974 Jean-Sébastien Dessureault and Daniel Massicotte. 2022a. [2206.08974]DPDR: A novel machine learning method for the Decision Process for Dimensionality Reduction. https://arxiv.org/abs/2206.08974
5. Jean-Sébastien Dessureault and Daniel Massicotte. 2022b. [2206.08980] Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation. https://arxiv.org/abs/2206.08980 Jean-Sébastien Dessureault and Daniel Massicotte. 2022b. [2206.08980] Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation. https://arxiv.org/abs/2206.08980