Timeline for What are the purposes of autoencoders?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Mar 31, 2019 at 18:46 | comment | added | Pedro Henrique Monforte | PCA has a closed solution, the main axis will always be de direction of maximum variance. It is not a greedy algorithm (but it can be implemented as one) | |
| Mar 31, 2019 at 16:26 | comment | added | Mathieu Bouville | PCA does not guarantee maximum variance either, since it is a greedy algorithm it only approximates the maximum. | |
| Mar 23, 2019 at 21:46 | comment | added | Pedro Henrique Monforte | LDA can be used as dimensionality reduction. The original algorithm derives only one projection but you can use it to get lower ranking discriminative direction for more acurate modelling | |
| Mar 23, 2019 at 21:45 | comment | added | nbro | What does LDA have to do with question? | |
| Mar 23, 2019 at 21:29 | history | answered | Pedro Henrique Monforte | CC BY-SA 4.0 |