Timeline for After a Feature Scaling do i have the same initial information?
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
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| Jan 6, 2018 at 7:56 | comment | added | Poiera | You are fantastic . So clear. The last questions : how can we mathematically describe that ( in the first case ) "structure of the data is the same" ? ps: i think in the second case,after the normalization the points land in the INTERVAL [-1,1], so there more points than just two. | |
| Jan 6, 2018 at 7:55 | vote | accept | Poiera | ||
| Jan 5, 2018 at 23:53 | comment | added | timleathart | I've updated my answer to be a lot more visual. Hopefully this makes sense to you! | |
| Jan 5, 2018 at 23:53 | history | edited | timleathart | CC BY-SA 3.0 |
added lots of clarification
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| Jan 5, 2018 at 8:13 | comment | added | Poiera | How can you say that the vectors carry the same information ? They are different :( . ps: also, why do we normalize the features and not the dataset vectors ? ( = why do we normalize the rows of the dataset and not the columns ? ) | |
| Jan 5, 2018 at 0:04 | history | answered | timleathart | CC BY-SA 3.0 |