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