T-Distributed Stochastic Neighbor Embedding for R (t-SNE)

A "pure R" implementation of the t-SNE algorithm.

c(person("Emmanuel", "Paradis", role = c("aut", "cre", "cph"), email = "Emmanuel.Paradis@ird.fr", comment = c(ORCID = "0000-0003-3092-2199")),
  person("Simon", "Blomberg", role = c("aut", "cph"), comment = c(ORCID = "0000-0003-1062-0839")),
  person("Ben", "Bolker", role = c("aut", "cph"), comment = c(ORCID = "0000-0002-2127-0443")),
  person("Joseph", "Brown", role = c("aut", "cph")),
  person("Julien", "Claude", role = c("aut", "cph")),
  person("Hoa Sien", "Cuong", role = c("aut", "cph")),
  person("Richard", "Desper", role = c("aut", "cph")),
  person("Gilles", "Didier", role = c("aut", "cph")),
  person("Benoit", "Durand", role = c("aut", "cph")),
  person("Julien", "Dutheil", role = c("aut", "cph")),
  person("RJ", "Ewing", role = c("aut", "cph")),
  person("Olivier", "Gascuel", role = c("aut", "cph")),
  person("Thomas", "Guillerme", role = c("aut", "cph")),
  person("Christoph", "Heibl", role = c("aut", "cph")),
  person("Anthony", "Ives", role = c("aut", "cph")),
  person("Bradley", "Jones", role = c("aut", "cph")),
  person("Franz", "Krah", role = c("aut", "cph")),
  person("Daniel", "Lawson", role = c("aut", "cph")),
  person("Vincent", "Lefort", role = c("aut", "cph")),
  person("Pierre", "Legendre", role = c("aut", "cph"), comment = c(ORCID = "0000-0002-3838-3305")),
  person("Jim", "Lemon", role = c("aut", "cph")),
  person("Eric", "Marcon", role = c("aut", "cph")),
  person("Rosemary", "McCloskey", role = c("aut", "cph")),
  person("Johan", "Nylander", role = c("aut", "cph")),
  person("Rainer", "Opgen-Rhein", role = c("aut", "cph")),
  person("Andrei-Alin", "Popescu", role = c("aut", "cph")),
  person("Manuela", "Royer-Carenzi", role = c("aut", "cph")),
  person("Klaus", "Schliep", role = c("aut", "cph")),
  person("Korbinian", "Strimmer", role = c("aut", "cph")),
  person("Damien", "de Vienne", role = c("aut", "cph")))

nlme, lattice, graphics, methods, stats, tools, utils,
parallel, Rcpp (>= 0.12.0)