Which algorithm is typically used for non-linear dimensionality reduction and visualization of high-dimensional data?
- A) Principal Component Analysis (PCA)
- B) t-Distributed Stochastic Neighbor Embedding (t-SNE)
- C) Linear Discriminant Analysis (LDA)
- D) K-means Clustering