GNG

Will generate a trajectory using GNG.

This method was wrapped inside a container. The original code of this method is available here.

ti_gng(dimred = "landmark_mds", ndim = 5L, max_iter = 15000L,
  max_nodes = 8L, apply_mst = TRUE)

Arguments

dimred

Which dimensionality reduction method to use. Domain: pca, mds, tsne, ica, lle, landmark_mds, mds_sammon, mds_isomds, mds_smacof, umap, dm_diffusionMap. Default: landmark_mds. Format: character.
ndim

The number of dimensions. Domain: U(2, 10). Default: 5. Format: integer.
max_iter

The max number of iterations. Domain: e^U(3.22, 13.82). Default: 15000. Format: numeric.
max_nodes

The maximum number of nodes. Domain: U(2, 30). Default: 8. Format: integer.
apply_mst

If true, an MST post-processing of the GNG is performed. Default: TRUE. Format: logical.

Value

A TI method wrapper to be used together with infer_trajectory