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  1. SECODA SECODA Public

    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 attribu…

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  2. Detection-of-high-density-anomalies Detection-of-high-density-anomalies Public

    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.

    R

  3. Typology-of-Anomalies-Poster Typology-of-Anomalies-Poster Public

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