Timeline for Why is multilinear PCA rarely used for nonlinear dimensionality reduction, compared to, say, t-SNE?
Current License: CC BY-SA 3.0
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| Jan 11, 2017 at 19:40 | history | edited | Bert Zangle | CC BY-SA 3.0 |
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| Jan 2, 2017 at 18:35 | history | edited | Bert Zangle | CC BY-SA 3.0 |
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| Jan 2, 2017 at 18:33 | comment | added | Bert Zangle | @amoeba I see, thank you very much for clearing this up. The patience of contributors on this site with imbeciles like me and the questions they ask is admirable. | |
| Jan 2, 2017 at 18:15 | comment | added | amoeba | Do you mean this en.wikipedia.org/wiki/Multilinear_principal_component_analysis ? What relationship does this have to t-SNE? MPCA is a linear method of dimensionality reduction of "multi-way" tensors. T-SNE is a nonlinear method for dimensionality reduction of usual matrices. They have completely different scope. | |
| Jan 2, 2017 at 12:21 | answer | added | user3644640 | timeline score: 1 | |
| Jan 2, 2017 at 11:53 | history | asked | Bert Zangle | CC BY-SA 3.0 |