Data Science, Machine Learning, Unsupervised Learning, Dimensionality Reduction, Cruio.
of the original features, while feature extraction creates new features that are linear combinations of the original features. Principal Component Analysis (PCA): PCA is a popular linear dimensionality reduction technique that transforms the original features into a new set of uncorrelated