Package: ldbod 0.1.2

ldbod: Local Density-Based Outlier Detection

Flexible procedures to compute local density-based outlier scores for ranking outliers. Both exact and approximate nearest neighbor search can be implemented, while also accommodating multiple neighborhood sizes and four different local density-based methods. It allows for referencing a random subsample of the input data or a user specified reference data set to compute outlier scores against, so both unsupervised and semi-supervised outlier detection can be implemented.

Authors:Kristopher Williams

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ldbod.pdf |ldbod.html✨
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Peer review:

Bug tracker:https://github.com/kwilliams83/ldbod/issues

On CRAN:

2 exports 2 stars 0.83 score 2 dependencies 3 scripts 155 downloads

Last updated 7 years agofrom:a93a70c7db. Checks:OK: 7. Indexed: yes.

Exports:ldbodldbod.ref

Dependencies:mnormtRANN