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thresholding.rst

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Outlier Detection Score Thresholding Methods:

Type Abbr Algorithm Documentation
Kernel-Based AUCP Area Under Curve Percentage AUCP
Statistical Moment-Based BOOT Bootstrapping BOOT
Normality-Based CHAU Chauvenet's Criterion CHAU
Linear Model CLF Trained Linear Classifier CLF
cluster-Based CLUST Clustering Based CLUST
Kernel-Based CPD Change Point Detection CPD
Transformation-Based DECOMP Decomposition DECOMP
Normality-Based DSN Distance Shift from Normal DSN
Curve-Based EB Elliptical Boundary EB
Kernel-Based FGD Fixed Gradient Descent FGD
Filter-Based FILTER Filtering Based FILTER
Curve-Based FWFM Full Width at Full Minimum FWFM
Statistical Test-Based GESD Generalized Extreme Studentized Deviate GESD
Filter-Based HIST Histogram Based HIST
Quantile-Based IQR Inter-Quartile Region IQR
Statistical Moment-Based KARCH Karcher mean (Riemannian Center of Mass) KARCH
Statistical Moment-Based MAD Median Absolute Deviation MAD
Statistical Test-Based MCST Monte Carlo Shapiro Tests MCST
Ensembles-Based META Meta-model Trained Classifier META
Transformation-Based MOLL Friedrichs' Mollifier MOLL
Statistical Test-Based MTT Modified Thompson Tau Test MTT
Linear Model OCSVM One-Class Support Vector Machine OCSVM
Quantile-Based QMCD Quasi-Monte Carlo Discrepancy QMCD
Linear Model REGR Regression Based REGR
Neural Networks VAE Variational Autoencoder VAE
Curve-Based WIND Topological Winding Number WIND
Transformation-Based YJ Yeo-Johnson Transformation YJ
Normality-Based ZSCORE Z-score ZSCORE