T-distributed stochastic neighbor embedding
id:
t-distributed-stochastic-neighbor-embedding-167-12842904
title:
T-distributed stochastic neighbor embedding
text:
t-distributed stochastic neighbor embedding (t-SNE) is a statistical method for visualizing high-dimensional data by giving each datapoint a location in a two or three-dimensional map. It is based on Stochastic Neighbor Embedding originally developed by Geoffrey Hinton and Sam Roweis, where Laurens van der Maaten and Hinton proposed the t-distributed variant. It is a nonlinear dimensionality reduction technique for embedding high-dimensional data for visualization in a low-dimensional space of t
brand slug:
wiki
category slug:
encyclopedia
description:
Technique for dimensionality reduction
original url:
https://en.wikipedia.org/wiki/T-distributed_stochastic_neighbor_embedding
date created:
2013-06-23T20:26:06Z
date modified:
2024-08-30T17:20:20Z
main entity:
{"identifier":"Q18387205","url":"https://www.wikidata.org/entity/Q18387205"}
image:
{"content_url":"https://upload.wikimedia.org/wikipedia/commons/9/94/T-SNE_visualisation_of_word_embeddings_generated_using_19th_century_literature.png","width":1592,"height":1080}
fields total:
13
integrity:
16