tSNE: 'tSNE'

View source: R/tsne.R

tSNER Documentation

tSNE

Description

Produce a t-Distributed Stochastic Neighbour Embedding.

Usage

tSNE(data, is.distance = FALSE, perplexity = 10, seed = 1066)

Arguments

data

A numeric data.frame or matrix containing the data to be analyzed.

is.distance

Whether data are a distance matrix between points or a numeric data.frame of cases by row and features by column.

perplexity

The perplexity coefficient which defines the extent of the locality of the dimension reduction.

seed

Random seed.

Details

If input is not a distance matrix, there must be no missing data or duplicates.


NumbersInternational/flipDimensionReduction documentation built on June 12, 2024, 11:30 a.m.