ldbod: Local Density-Based Outlier Detection
Version 0.1.2

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.

Getting started

Package details

AuthorKristopher Williams
Date of publication2017-05-26 06:04:25 UTC
MaintainerKristopher Williams <[email protected]>
LicenseGPL-3
Version0.1.2
URL https://github.com/kwilliams83/ldbod
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ldbod")

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ldbod documentation built on May 29, 2017, 8:48 p.m.