Umap, Machine Learning, AI, Dimensionality Reduction.
KernelPCA from sklearn.datasets import load_iris import matplotlib.pyplot as plt # get data data = load_iris()["data"] target = load_iris()["target"] # create transformer pca = KernelPCA(kernel="rbf", n_components=4) # transform data, # note that you can´t get more features then what you started