Data Science, Machine Learning, Dimensionality Reduction, Python.
model. Most of features extraction techniques are unsupervised. You can train your autoencoder or fit your PCA on unlabeled data. This can be helpful if you have a lot of unlabeled data and labeling is time-consuming and expensive. Features Selection in Reduction Most, important is to reduce