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A scikit-learn compatible library for anomaly detection

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type: enhancement
priority: low
area: core

#### References Kriegel, H.-P., Kroger, P., Schubert E., and Zimek, A., "Interpreting and unifying outlier scores," In Proceedings of SDM, pp. 13-24, 2011.

type: feature
priority: middle
area: core

#### References Kriegel, H.-P., Kroger, P., Schubert E., and Zimek, A., "Interpreting and unifying outlier scores," In Proceedings of SDM, pp. 13-24, 2011.

type: feature
priority: middle
area: core

type: feature
priority: middle
area: core

type: enhancement
priority: low
area: core

type: enhancement
priority: low
area: core

#### Description - LinearNormalizer - GaussianNormalizer - GammaNormalizer #### References Kriegel, H.-P., Kroger, P., Schubert E., and Zimek, A., "Interpreting and unifying outlier scores," In Proceedings of SDM, pp. 13-24,...

type: feature
priority: low
area: core