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ldbod  

Local Density-Based Outlier Detection
View on CRAN: Click here


Download and install ldbod package within the R console
Install from CRAN:
install.packages("ldbod")

Install from Github:
library("remotes")
install_github("cran/ldbod")

Install by package version:
library("remotes")
install_version("ldbod", "0.1.2")



Attach the package and use:
library("ldbod")
Maintained by
Kristopher Williams
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-14
Latest Update: 2017-05-26
Description:
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.
How to cite:
Kristopher Williams (2016). ldbod: Local Density-Based Outlier Detection. R package version 0.1.2, https://cran.r-project.org/web/packages/ldbod. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1.0 (2016-09-14 18:51), 0.1.1 (2016-12-22 09:04)
Other packages that cited ldbod R package
View ldbod citation profile
Other R packages that ldbod depends, imports, suggests or enhances
Complete documentation for ldbod
Functions, R codes and Examples using the ldbod R package
Some associated functions: ldbod . ldbod.ref . 
Some associated R codes: ldbod.R . ldbod.ref.R .  Full ldbod package functions and examples
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