Inferring a trajectory inference using Projected GNG

Source: R/ti_projected_gng.R

Will generate a trajectory using Projected GNG.

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

ti_projected_gng(dimred = "pca", ndim = 5L, max_iter = 15000,
  max_nodes = 8L, apply_mst = TRUE, run_environment = NULL)

Arguments

dimred

discrete; Which dimensionality reduction method to use. (default: "pca"; values: "pca", "mds", "tsne", "ica", "lle", "landmark_mds", "mds_sammon", "mds_isomds", "mds_smacof", "umap", "dm_diffusionMap")
ndim

integer; The number of dimensions (default: 5L; range: from 2L to 10L)
max_iter

numeric; The max number of iterations (default: 15000; range: from 25 to 1e+06)
max_nodes

integer; The maximum number of nodes (default: 8L; range: from 2L to 30L)
apply_mst

logical; If true, an MST post-processing of the GNG is performed.
run_environment

In which environment to run the method, can be "docker" or "singularity".

Value

A TI method wrapper to be used together with infer_trajectory