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
See Van der Maaten and Hinton (2012)
|Author||Benjamin J. Radford|
|Date of publication||2017-07-28 09:09:42 UTC|
|Maintainer||Benjamin J. Radford <[email protected]>|
|License||FreeBSD | file LICENSE|
|Package repository||View on CRAN|
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