Modeling

The modeling step is where the actual classification takes place. It involves selecting the classification mode, configuring the parameters, and running the classification algorithms.

Depending on the selected classification mode, different parameters and options will be available for configuration. The results of the classification can be visualized in various ways, including 2D and 3D plots, as well as detailed statistics and metrics.

Supervised Classification

Supervised classification involves training a model on a labeled dataset and using it to predict the labels of new data. See Supervised Classification for more details on supervised classification.

Unsupervised Classification

Unsupervised classification groups data without prior knowledge of the class labels. See Unsupervised Classification for more details on unsupervised classification.