title: How to choose the right number of dimension in UMAP?
body: <p>I wanna try to use UMAP for my high-dimensional dataset as a preprocessing step (not for data visualization) in order to decrease the number of features, but how can I choose (if there is a method) the right number of dimensions in which to map the original data? For example, in PCA you can select the number of Factors that explain a fixed % of variances.</p>