Dimension Reduction techniques are one of the most useful methods in unsupervised learning of high dimensional datasets. In this post, we will learn how to use R to perform 6 most commonly used dimensionality reduction techniques, PCA: Principal Component Analysis SVD: Singular Value Decomposition ICA: Independent Component Analysis NMF: Non-negative Matrix Factorization tSNE UMAP We… Continue reading 6 Dimensionality Reduction Techniques in R (with Examples)