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GLOSH scores

Source: R/lof_scores.R
glosh_scores.Rd

Compute Global-Local Outlier Score from Hierarchies. This is based on hierarchical clustering, using core distances to the k-th nearest neighbour. The resulting outlier score is a measure of how anomalous each observation is. The function uses dbscan::hdbscan to do the calculation.

Usage

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

Arguments

y

Numerical matrix or vector of data

k

Number of neighbours to include, not counting the observation itself. Default: 10.

...

Additional arguments passed to dbscan::hdbscan

Value

Numerical vector containing GLOSH values

See also

dbscan::glosh

Author

Rob J Hyndman

Examples

y <- c(rnorm(49), 5)
glosh_scores(y)
#>  [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [39] 1 1 1 1 1 1 1 1 1 1 1 1