lof_scores: Local outlier factors

In weird: Functions and Data Sets for "That's Weird: Anomaly Detection Using R" by Rob J Hyndman

Local outlier factors

Description

Compute local outlier factors using k nearest neighbours. A local outlier factor is a measure of how anomalous each observation is based on the density of neighbouring points. The function uses dbscan::lof to do the calculation.

Usage

lof_scores(y, k = 10, ...)

Arguments

y	Numerical matrix or vector of data
k	Number of neighbours to include. Default: 5.
...	Additional arguments passed to dbscan::lof

Value

Numerical vector containing LOF values

Author(s)

Rob J Hyndman

See Also

dbscan::lof

Examples

y <- c(rnorm(49), 5)
lof_scores(y)

weird documentation built on May 29, 2024, 1:24 a.m.