Undergraduate Project - Statistical Outlier Detection Methods
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Aug 3, 2020 - R
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anomaly-detection-algorithm
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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.
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Updated
Sep 13, 2021 - R
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.
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Updated
Sep 13, 2021 - R
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