lof_scores: Local outlier factors
In weird: Functions and Data Sets for "That's Weird: Anomaly Detection Using R" by Rob J Hyndman
lof_scores R Documentation
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
References
Rob J Hyndman (2026) "That's weird: Anomaly detection using R", Section 7.3,
https://OTexts.com/weird/.
See Also
dbscan::lof
Examples
y <- c(rnorm(49), 5)
lof_scores(y)
weird documentation built on Jan. 27, 2026, 9:06 a.m.
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| lof_scores | R Documentation |
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 |
Value
Numerical vector containing LOF values
Author(s)
Rob J Hyndman
References
Rob J Hyndman (2026) "That's weird: Anomaly detection using R", Section 7.3, https://OTexts.com/weird/.
See Also
dbscan::lof
Examples
y <- c(rnorm(49), 5)
lof_scores(y)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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