Timeline for Are there any versions of t-SNE for streaming data?
Current License: CC BY-SA 3.0
12 events
| when toggle format | what | by | license | comment | |
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| Jun 22, 2017 at 9:17 | history | edited | amoeba |
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| S Jun 21, 2017 at 20:34 | history | post merged (destination) | |||
| Jun 21, 2017 at 7:06 | answer | added | Stéphane Deny | timeline score: 13 | |
| Oct 22, 2016 at 15:03 | answer | added | cvlad | timeline score: 8 | |
| Sep 5, 2016 at 1:12 | comment | added | o17t H1H' S'k | See here for a parametric version implemented with a neural ntwork. lvdmaaten.github.io/publications/papers/AISTATS_2009.pdf | |
| Feb 29, 2016 at 20:11 | answer | added | thecity2 | timeline score: 3 | |
| Feb 29, 2016 at 20:07 | answer | added | thecity2 | timeline score: 15 | |
| Nov 27, 2015 at 23:35 | vote | accept | Tom | ||
| S Jun 21, 2017 at 20:34 | |||||
| Nov 26, 2015 at 16:26 | answer | added | RUser4512 | timeline score: 6 | |
| Nov 26, 2015 at 16:00 | comment | added | Tom | Hey thanks! I'm happy to vote for your answer if you put it in the answer section of this. | |
| Nov 25, 2015 at 10:43 | comment | added | RUser4512 | The Barnes-Hut approximation makes t-SNE highly scalable (at least, you can use it with 100 000 lines, I tried it). You can call it from R : cran.r-project.org/web/packages/Rtsne/index.html | |
| Feb 19, 2015 at 9:56 | history | asked | Ger | CC BY-SA 3.0 |