Which of the following is NOT a common method for dimensionality reduction in machine learning?

• A) t-Distributed Stochastic Neighbor Embedding (t-SNE)
• B) Principal Component Analysis (PCA)
• C) Support Vector Machine (SVM)
• D) Linear Discriminant Analysis (LDA)