tsne.matrix: tsne.matrix implements t-Distributed Stochastic Neighbor...

In lejon/tsner: R Wrapper for Java T-SNE

Description

tsne.matrix implements t-Distributed Stochastic Neighbor Embedding (t-SNE) for matrix inputs

Usage

## S3 method for class 'matrix'
tsne(
  X,
  dims = 2,
  initial_dims = -1,
  perplexity = 30,
  max_iter = 100,
  pca = FALSE,
  theta = 0.6,
  verbose = FALSE
)

Arguments

X	matrix; Data matrix
dims	integer; Output dimensionality (default: 2)
initial_dims	integer; the number of dimensions that should be retained in the initial PCA step (default: -1 (all))
perplexity	numeric; Perplexity parameter
max_iter	integer; Number of iterations (default: 1000)
pca	logical; Whether an initial PCA step should be performed (default: FALSE)
theta	numeric; Speed/accuracy trade-off (increase for less accuracy, default: 0.5)
verbose	logical; Whether progress updates should be printed (default: FALSE)

Examples

## Not run: 
tsnedf <- tsne(X, dims, initial_dims, perplexity, max_iter, pca, theta, verbose)

## End(Not run)

lejon/tsner documentation built on May 19, 2021, 3:02 p.m.