Figure 6. Demonstrations of the three tabs generated by the plot_UMAP
function. Tab a -UMAP calculation and tuning – evaluates
whether ACC features represent behaviours. The “Features to input”
section allows users to choose which feature groups to use as input to
UMAP. The “UMAP hyperparameter tuning” section allows users to
interactively adjust three hyperparameters within the UMAP function to
control the two-dimensional clustering. Tab b – Feature
visualization through UMAP – shows how feature values vary across the
two-dimensional UMAP plot. Users can choose which feature to plot by
selecting from the drop-box. Tab c – Selected features –
allows evaluating the performance of selected features in
differentiating between the different behaviours. Users can choose which
features to input into UMAP by ticking the checkboxes.