What is the process of reducing the dimensionality of data while maintaining its essential characteristics-
- A.Gradient Boosting
- B.k-means clustering
- C.Principal Component Analysis
- D.Regression
Show answer
Answer: C. Principal Component Analysis
Principal Component Analysis (PCA) reduces data dimensionality while preserving maximum variance.