Examples

The following jupyter notebooks contain examples on how to use the library.

Uncertainty-aware multidimensional scaling

Load data, reduce the dimensionality with UAMDS, visualize the output

Uncertainty-aware principal component analysis

Load data, reduce the dimensionality with UAPCA, visualize the output

Working with own data

Load data, create a distribution, visualize it