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Crowding Problem(t-SNE): Dimensionality reduction Lecture 24@Applied AI Course 

Applied AI Course
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7 сен 2024

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Комментарии : 8   
@marreddykrishnachaitanyare3696
4:50 you can place x4 at x2. then it will satsify the neighbourhood distance constraint you were talking about.
@AppliedAICourse
@AppliedAICourse 6 лет назад
If we place x4 on top of x2, the distance between x2 and x4 becomes zero violating the constraints that distance between x2 and x4 needs to be 'd* sqrt(2)'. It is not possible to satisfy all the constraints for every pair of points in this case.
@marreddykrishnachaitanyare3696
we are only preserving the neighbourhood distances. You said you are preserving only the four d's not others. Even the distance between x1 and x3 is 2*d in 1D. So we can place x4 on top of x2 so that it preserves the d's.
@AppliedAICourse
@AppliedAICourse 6 лет назад
I will make a video eloborating further. I understand the point you made. It's a good point. I am currently traveling. I will respond back with a follow up video by tomorrow. Thank you once again for asking a good question.
@AppliedAICourse
@AppliedAICourse 6 лет назад
Please check out this video: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-ylx_1bsnv2c.html
@muhammadzaman2578
@muhammadzaman2578 6 лет назад
It doesn't seems immposible x2 and x4 can be at same position, where as the distance between x2 and x4 doesn't matter.
@kashgarinn
@kashgarinn 5 лет назад
What happens if you define the 1D space as a modulo ring rather than over the reals? Would that solve the crowding problem?
@drssn7430
@drssn7430 3 года назад
Sir Can You Explain U map Dimensional reduce Algorithm
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