PaCMAP

PaCMAP (Pairwise Controlled Manifold Approximation) is a dimensionality reduction tool designed to enhance data visualization by simultaneously preserving both local and global structures. It utilizes a unique approach that incorporates three types of point pairs during the embedding optimization process, allowing for effective handling of various dataset characteristics while providing improved speed and scalability through GPU support with PyTorch. Notable features include its dynamic handling of mid-near pairs to refine the representation of data clusters, setting it apart from traditional DR methods.