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[Experimental] Leverages the ForceAtlas2 implementation in manifolds-rs. This version uses a pre-computed kNN graph, please see new_nearest_neighbour().

Usage

rs_forceatlas2_from_knn(
  embd,
  knn_data,
  k,
  fa2_params,
  seed,
  use_high_precision,
  verbose
)

Arguments

embd

Numerical matrix. The data to use to generate the embeddings. Should be of dimensions samples x features.

knn_data

NearestNeighbours class from R.

k

Integer. Number of nearest neighbours to consider.

fa2_params

Named list. List that contains all of the key parameters for the graph generation and ForceAtlas2 optimisation.

seed

Integer. Seed for reproducibility.

use_high_precision

Optional logical. Controls fp32 vs fp64. If NULL will use sensible default thresholding.

verbose

Integer. If 0L -> silent or 1L for normal verbosity; 2L for detailed verbosity.

Value

The ForceAtlas2 embedding, samples x 2.