glosh_scores

Compute Global-Local Outlier Score from Hierarchies. This is based
on hierarchical clustering where the minimum cluster size is k. The resulting
outlier score is a measure of how anomalous each observation is.
The function uses <code>dbscan::hdbscan</code> to do the calculation.

All functions and data sets required for the examples in the book
Hyndman (2024) "That's Weird: Anomaly Detection Using R" <https://OTexts.com/weird/>.
All packages needed to run the examples are also loaded.

Rob Hyndman

weird

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

RStudio 

glosh_scores function

<dl><dt>y</dt>
<dd>Numerical matrix or vector of data</dd>
<dt>k</dt>
<dd>Minimum cluster size. Default: 5.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code>dbscan::hdbscan</code></dd></dl>

Arguments

Author

GLOSH scores — glosh_scores

<dl>

<dt>y</dt>
<dd>Numerical matrix or vector of data</dd>


<dt>k</dt>
<dd>Minimum cluster size. Default: 5.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code>dbscan::hdbscan</code></dd>

</dl>

glosh_scores: GLOSH scores

Description

Usage

Value

Arguments

Author

See Also

Examples