Timeline for Is it feasible to use t-SNE to reduce a dataset to one dimension?
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 18, 2013 at 0:01 | vote | accept | power | ||
| Nov 17, 2013 at 23:49 | comment | added | James LI | I have recently tested tSNE, CCA and RPM algorithms to reduce 1500 dimensional data to one dimension. tSNE worked pretty well, but not the best from a particular point of view (see jamesxli.blogspot.ca/2013/11/on-multidimensional-sorting.html). To make a judgement about the performance, I would trust more domain knowledge or visual checking, than ad-hoc statistics. | |
| Nov 17, 2013 at 22:50 | comment | added | power | Thanks. I intend to use this for clustering. Given enough domain knowledge, I should be able to sense-check the clusters. | |
| Nov 17, 2013 at 22:30 | history | answered | James LI | CC BY-SA 3.0 |