Using the Clusterization Tool

Menu: Analyze / Cluster

Once the detection parameters are set and the analysis area is defined, the user can begin cluster detection by clicking "Start".

The Clusterization Tool follows these steps:

Marks points to be analyzed (considering segmentation and downsampling settings).
Groups points into clusters based on detection parameters.
Assigns each cluster a unique name, color, and set of dimensions.

1. Cluster Attributes and Management

After detection, a list of detected clusters appears. Each cluster includes:
✔ A unique name
✔ A randomly assigned color
✔ Three attributes:

Length
Width
Height (Bounding box dimensions)

Users can manage clusters using the Cluster Toolbar, which provides several tools for visualization, editing, and classification.

2. Cluster Toolbar Functions

Icon	Description
	Deletes all selected clusters from the list.
	Identifies a cluster by selecting it on screen.
	Draws points for selected clusters.
	Erases cluster points from the display.
	Adds selected clusters to the library for future use.
	Renames selected clusters, applying an incremental suffix.
Classify as	Classifies selected clusters into a specific class.

3. Context Menu (Right-Click Options)

Right-clicking on a cluster in the list provides additional options:

Copy Dimensions for Filter

Duplicates the size of the selected cluster as a filter parameter.
If filters are activated, only clusters of similar size will be detected.

Zoom to Cluster

Centers the main view on the selected cluster for easy visualization.

Draw and Erase Cluster Points

Draw → Displays the cluster points on-screen.
Erase → Temporarily removes drawn points from the screen (without deleting them).

Delete vs. Restore Points

Delete Points → Marks points as deleted (they will no longer be visible or considered in calculations).
Restore Points → Recovers previously deleted points.
Delete Cluster → Removes only the cluster definition, but not the points.

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