# Find Noise

* Assigns the output class to all points that have less than X neighbors in their neighborhood of Y meters

1. Specify Filter as "Find Noise"
2. Select input class(s)
3. Select "Low Point (noise)" as output class&#x20;
4. Click "Run Filter"
5. After processing has finished click "Save Classification to Cloud" to save changes, or click "Cancel Fitler" to Cancel changes

* The example settings below would result in all input points assigned class "Created, never classified" being output to class "Low Point (noise)"&#x20;

![](/files/-M_Xlw2k12_mT88CciwN)

### Parameters

* **Radius** - Spatial search radius for Neighboring points (meters)
* **Number of Neighbors** - Maximum number of neighboring points which will result in assigning input points' class to the output class
* **Neighbor Classes** - Classes to include in neighboring points search


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs-6.phoenixlidar.com/lidarmill-desktop/post-processing/workflow-kk/classification/find-noise.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
