Consensus across univariate z-scores, Mahalanobis distance, Isolation Forest, Local Outlier Factor, and One-Class SVM identifies consistent multivariate outliers among European regions that reflect real structural differences rather than data errors.
On the generalised distance in statistics.Proceedings of the National Institute of Sciences of India, 2:49–55
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Unsupervised Machine Learning for Detecting Structural Anomalies in European Regional Statistics
Consensus across univariate z-scores, Mahalanobis distance, Isolation Forest, Local Outlier Factor, and One-Class SVM identifies consistent multivariate outliers among European regions that reflect real structural differences rather than data errors.