Module linfa_reduction::diffusion_map [−][src]
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.
Structs
| DiffusionMap | Embedding of diffusion map technique |
| DiffusionMapParams | Diffusion map hyperparameters |