A basic example
Discovering clusters
Using describe_pca to evaluate the integrity of your visualization
Plotting a Pandas Dataframe
Explore mode!
Generating a legend
Visualizing the digits dataset
Saving a plot
Hyperalign a list of arrays and create an animated plot
Aligning matrices to a common space
Saving an animation
Labeling your datapoints
Using the cluster function to label clusters
Grouping data by category
Customizing figures
Interpolating missing data with probabalistic PCA
Using the missing_inds function to label interpolated values
Aligning two matrices with the procrustes function
Normalizing your features
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