> For the complete documentation index, see [llms.txt](https://docs-7.phoenixlidar.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs-7.phoenixlidar.com/lidarmill-desktop/workflow-kk/classification/statistical-outlier-removal.md).

# Statistical Outlier Removal

Performs Statistical Outlier Removal on the dataset.

![Red Points = Statistical Outliers](/files/0XRUxH2XrTRhq8nUXEIn)

Select input class(s) and output class, then click **Run Filter**. After processing has finished click **Save Classification to Cloud** to save changes, or click **Cancel Fitler** to Cancel changes

This filter computes statistical outlier removal, that is it classifies all points further than X \* sigma from the local centroid, where sigma is also computed locally. 

<figure><img src="/files/I7n55IYFzhXqChdasJMS" alt=""><figcaption></figcaption></figure>

### Parameters

**Sigma Multiplier** - Sets the X of the X \* sigma parameter. The lower this multiplier is, the more aggressive the filter gets.&#x20;

**Neighbors** - Number of neighbouring points to search. Good default parameters are 32 neighbours and 4.0 sigma multiplier.