Dimension reduction plays a crucial role in machine learning to serve data exploration and visualization 1,2. By transforming data into an embedding space, it reveals the intrinsic structures and ...

Dimensionality reduction is a method used in machine learning and data science to reduce the dimensions in a dataset. While linear methods are generally less effective at dimensionality reduction than ...