© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
K. FeaselFinding Ghosts in Your Datahttps://doi.org/10.1007/978-1-4842-8870-2_12

12. Copula-Based Outlier Detection (COPOD)

Kevin Feasel1  
(1)
DURHAM, NC, USA
 

So far, we have looked at clustering-based models for multivariate outlier detection. In this chapter, we will review a novel nonclustering technique that uses a concept called copulas. First, we will define what a copula is and how we can perform outlier detection using it. Then, we will implement application changes to integrate the new technique. After that, we will update our tests and website. Finally, we will wrap up Part III with some concluding notes.

Copula-Based Outlier Detection

In September ...

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