Question: is pca used for machine learning?
Answer: Principal Component Analysis (PCA) is an unsupervised, non-parametric statistical technique primarily used for dimensionality reduction in machine learning. High dimensionality means that the dataset has a large number of features. ... PCA can also be used to filter noisy datasets, such as image compression.