Moment-Based Anomaly Detection in High-Dimensional Mixed Data
An anomaly detection method for high-dimensional mixed-type data that maps heterogeneous features to a common scale via standardized moment-based transformations, yielding interpretable feature-level anomaly scores that can be applied to multi-omics and ESG data.
Davide Ferrari, Andrea Nicolodi
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