Classification Only with AI Tools option

The Classification feature provides a suite of tools for data preprocessing, dimension reduction, and classification. It supports both unsupervised and supervised classification methods, allowing users to analyze and classify data efficiently.

../../../../_images/clusters_layout.svg
orphan:

General layout

  1. Classification steps

  2. Overview

  3. Current step view

Classification steps

  • step_modes Classification mode: Choose between supervised and unsupervised classification.

  • step_preprocessing Preprocessing: Configure preprocessing settings, including wavelength/illumination selection, data mode, and preprocessing tools.

  • step_dimreduc Dimension Reduction: Configure a dimension reduction algorithm to reduce the dataset’s dimensionality. Only available for unsupervised classification.

  • step_modeling Modeling: Configure classification settings and run the classification algorithms.

  • step_results Results: Visualize and analyze the classification results.

Overview

The overview lists the different classes defined, and for each class, the list of the tracks that belong to it.

  • display_all Display all tracks

  • hide_all Hide all tracks

  • classes Toggle between the display of the classes and the simple list of tracks.

  • expand_all Expand all classes to show their tracks.

  • collapse_all Collapse all classes to hide their tracks.

  • edit_classes Edit the classes definition, see Class labeling for more information.

For each track, it is possible to display or hide it (trackOn and trackOff). And the corresponding analysis can be opened by clicking on the button open_analysis (only possible if the analysis is available on the system).

For each class, the marker used to represent the defined class in the 3D View is displayed. This marker is used to visually distinguish different classes in the 3D view.

Warning

Only 24 markers are available for the classes. If more than 24 classes are defined, the markers will be reused for the additional classes.

For multi-class classification, depending on the view mode, each class will also display the color used in the 3D View to represent the identified class.

Current step view

The view of the current step is displayed here. Depending on the selected step in Classification steps, different options and settings will be available for configuration.