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mmtsne  

Multiple Maps t-SNE
View on CRAN: Click here


Download and install mmtsne package within the R console
Install from CRAN:
install.packages("mmtsne")

Install from Github:
library("remotes")
install_github("cran/mmtsne")

Install by package version:
library("remotes")
install_version("mmtsne", "0.1.0")



Attach the package and use:
library("mmtsne")
Maintained by
Benjamin J. Radford
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-28
Latest Update: 2017-07-28
Description:
An implementation of multiple maps t-distributed stochastic neighbor embedding (t-SNE). Multiple maps t-SNE is a method for projecting high-dimensional data into several low-dimensional maps such that non-metric space properties are better preserved than they would be by a single map. Multiple maps t-SNE with only one map is equivalent to standard t-SNE. When projecting onto more than one map, multiple maps t-SNE estimates a set of latent weights that allow each point to contribute to one or more maps depending on similarity relationships in the original data. This implementation is a port of the original 'Matlab' library by Laurens van der Maaten. See Van der Maaten and Hinton (2012) . This material is based upon work supported by the United States Air Force and Defense Advanced Research Project Agency (DARPA) under Contract No. FA8750-17-C-0020. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the United States Air Force and Defense Advanced Research Projects Agency. Distribution Statement A: Approved for Public Release; Distribution Unlimited.
How to cite:
Benjamin J. Radford (2017). mmtsne: Multiple Maps t-SNE. R package version 0.1.0, https://cran.r-project.org/web/packages/mmtsne
Previous versions and publish date:
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Other packages that cited mmtsne R package
View mmtsne citation profile
Other R packages that mmtsne depends, imports, suggests or enhances
Functions, R codes and Examples using the mmtsne R package
Some associated functions: hbeta . mmtsne . mmtsneP . p2sp . x2p . 
Some associated R codes: mmtsne.R . mmtsne_prep.R .  Full mmtsne package functions and examples
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