Tag: outlier detection

A large-scale study from the University of São Paulo tested three strategies for detecting outliers in categorical and mixed data ...

A leakage-free benchmark of ten chronic-disease cohorts finds that no outlier-removal method beats doing nothing, while data-cleaning steps silently delete ...

Researchers have developed 3CPO, a Poisson-based clustering algorithm that groups count data accurately while automatically identifying which columns of a ...

Researchers have revealed how mixed geological populations geometrically distort the Mahalanobis distance and built an EM-GMM and Fast-MCD framework that ...

Researchers have developed P2CE, a model-agnostic algorithm that generates counterfactual explanations for machine learning decisions that are both plausible and ...

Researchers have developed a noise-robust over-sampling method called mZ-cEAMD that outperforms SMOTE-based techniques in classifying defective car transmissions from severely ...