1 2 3 4 5 6 7 8 9 10 11 12 13
//! Diffusion Map //! //! The diffusion map computes an embedding of the data by applying PCA on the diffusion operator //! of the data. It transforms the data along the direction of the largest diffusion flow and is therefore //! a non-linear dimensionality reduction technique. A normalized kernel describes the high dimensional //! diffusion graph with the (i, j) entry the probability that a diffusion happens from point i to //! j. //! mod algorithms; mod hyperparameters; pub use algorithms::*; pub use hyperparameters::*;