What problem does Principal Component Analysis (PCA) primarily address?

Quiz Options

• Categorizing data
• Reducing the number of variables (dimensions) in a dataset
• Predicting continuous values
• Finding clusters in data

Explanation

Principal Component Analysis (PCA) is a statistical technique used for dimensionality reduction, transforming a large set of variables into a smaller one while retaining most of the original information.