https://github.com/antononcube/wl-outlieridentifiers-paclet

Wolfram Language (aka Mathematica) paclet that provides outlier identifier functions.
https://github.com/antononcube/wl-outlieridentifiers-paclet

data-analysis hampel outlier-detection outliers

Last synced: 19 days ago
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Wolfram Language (aka Mathematica) paclet that provides outlier identifier functions.

• Host: GitHub
• URL: https://github.com/antononcube/wl-outlieridentifiers-paclet
• Owner: antononcube
• License: mit
• Created: 2023-04-22T02:26:30.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-04-22T12:31:54.000Z (over 1 year ago)
• Last Synced: 2024-04-19T04:50:41.387Z (9 months ago)
• Topics: data-analysis, hampel, outlier-detection, outliers
• Language: Mathematica
• Homepage: https://resources.wolframcloud.com/PacletRepository/resources/AntonAntonov/OutlierIdentifiers/
• Size: 314 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# OutlierIdentifiers WL paclet

Wolfram Language (aka Mathematica) paclet that provides outlier identifier functions.

The purpose of the outlier detection algorithms is to find those elements in a list of numbers that have values significantly higher or lower than the rest of the values.

Note that taking a certain number of elements with the highest values is not the same as an outlier detection, 

but it can be used as a replacement.

Here is example code:

```mathematica

SeedRandom[788];

pnts = RandomVariate[NormalDistribution[20, 16], 30];

ListPlotOutliers[pnts, HampelIdentifierParameters, 

  PlotRange -> All, Filling -> Axis, PlotRange -> All, 

  PlotTheme -> "Detailed", PlotLegends -> {"Data", "Outliers"}, ImageSize -> Large]

```

![](./Documentation/Diagrams/OutlierIdentifiers-paclet-headline-image.png)

----- 

## References

[AA1] Anton Antonov,

["Outlier detection in a list of numbers"](https://mathematicaforprediction.wordpress.com/2013/10/16/outlier-detection-in-a-list-of-numbers/),

(2013),

[MathematicaForPrediction at WordPress](https://mathematicaforprediction.wordpress.com/).

[RP1] Ronald K. Pearson, 

"Mining Imperfect Data: Dealing with Contamination and Incomplete Records", 2005, SIAM.