PaCMAP implementation with pre-computed kNN — rs_pacmap_from

Leverages the PacMAP implementation in manifolds-rs - a very fast Rust-based implementation. This version uses a pre-computed kNN graph, please see new_nearest_neighbour().

Usage

rs_pacmap_from_knn(
  embd,
  knn_data,
  n_dim,
  pacmap_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.
n_dim: Integer. Number of dimensions to return.
pacmap_params: Named list. List that contains all of the key parameters for the PaCMAP generation.
seed: Integer. Seed for reproducibility.
use_high_precision: Optional logical. Controls fp32 vs fp64 for. If NULL will use sensible default thresholding.
verbose: Integer. If 0L -> silent or 1L for normal verbosity; 2L for detailed verbosity.

Value

The PaCMAP embeddings.