tSNE implementation — rs_tsne_from

This is the wrapper function into the Rust interface for tSNE. You have the option to use the Barnes-Hut implemetation or the FFT-accelerated version to approximate the repulsive forces. This one can use a pre-computed kNN.

Usage

rs_tsne_from_knn(
  embd,
  knn_data,
  n_dim,
  perplexity,
  approx_type,
  tsne_params,
  seed,
  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 tSNE dimensions to return. Needs to be two, others are not supported.
perplexity: Numeric. The tSNE perplexity parameter.
approx_type: String. One of c("fft", "bh"). Which of the two approximations to use.
tsne_params: Named list. List that contains all of the key parameters for the tSNE generation.
seed: Integer. Seed for reproducibility.
verbose: Boolean. Controls verbosity of the function.

Value

The tSNE embeddings.