Umap, Machine Learning, AI, Dimensionality Reduction.
data = load_iris()["data"] target = load_iris()["target"] # create transformer ica = FastICA(n_components=4) # transform data, # note that you can´t get more features then what you started out with. reduced_data = ica.fit_transform(data) # Lets create an image of the information dense PCA features