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

Uncertainty-aware multidimensional scaling
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`Load data, reduce the dimensionality with UAMDS, visualize the output <https://github.com/UniStuttgart-VISUS/uadapy/blob/main/examples/uamds.ipynb>`_

Uncertainty-aware principal component analysis
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`Load data, reduce the dimensionality with UAPCA, visualize the output <https://github.com/UniStuttgart-VISUS/uadapy/blob/main/examples/uapca.ipynb>`_

Uncertainty-aware seasonal trend decomposition with LOESS
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`Load data, reduce the dimensionality with UAPCA, visualize the output <https://github.com/UniStuttgart-VISUS/uadapy/blob/main/examples/uastl.ipynb>`_

Working with own data
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`Load data, create a distribution, visualize it <https://github.com/UniStuttgart-VISUS/uadapy/blob/main/examples/ownData.ipynb>`_