Principal component analysis (PCA) is a common unsupervised learning technique that is useful for both exploratory data analysis and dimension reduction. PCA is often used as the core procedure for factor analysis.
Principal component analysis (PCA) is a common unsupervised learning technique that is useful for both exploratory data analysis and dimension reduction. PCA is often used as the core procedure for factor analysis.