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Ralph Foorthuis's Projects

detection-of-high-density-anomalies icon detection-of-high-density-anomalies

Algorithms for the R environment that are able to detect high-density anomalies. Such anomalies are deviant cases positioned in the most normal regions of the data space.

secoda icon secoda

Anomaly detection with SECODA for the R environment. SECODA is a general-purpose unsupervised non-parametric anomaly detection algorithm for datasets containing numerical and/or categorical attributes.

typology-of-anomalies-poster icon typology-of-anomalies-poster

This repository offers a downloadable poster that presents a full overview of anomaly types that can be encountered in datasets.

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