Artificial penguins for photonic classification

A dataset derived from the penguins dataset used for photonic classification experiment. Generated via sampling of the normal distributions defined by principal components of the original penguins dataset. Five features and three classes, each of the three classes has 5000 samples. The categorical features 'sex' and 'year' from the original dataset were not included into the artificial dataset.