Timeline for Why is LDA considered to be a classifier?
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
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| S Aug 9, 2022 at 4:24 | history | suggested | user318514 |
added tags.
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| Aug 8, 2022 at 19:30 | review | Suggested edits | |||
| S Aug 9, 2022 at 4:24 | |||||
| May 9, 2017 at 6:52 | answer | added | Martin Thoma | timeline score: 0 | |
| Jul 24, 2015 at 15:39 | comment | added | ttnphns | LDA is a composite procedure. It consists of two distinct stages: 1) dimensionality reduction (extraction of distriminants); 2) classification (usually by Bayes approach). When there are just two classes ("Fisher's LDA") both stages can be mathematically managed as "two in one" because LDA then is theoretically equivalent to linear regression with normal assignment. | |
| Jul 24, 2015 at 15:18 | answer | added | Sean S | timeline score: 6 | |
| Jul 24, 2015 at 14:13 | history | asked | Mehdi | CC BY-SA 3.0 |