Uniform Manifold Approximation and Projection (UMAP) | Dimensionality Reduction Techniques (5/5)

▬▬ Papers / Resources ▬▬▬
Colab Notebook: colab.research.google.com/dri...
Sources:
- TDA Introduction: www.frontiersin.org/articles/...
- TDA Blogpost: chance.amstat.org/2021/04/top...
- TDA Applications Blogpost: orbyta.it/tda-in-a-nutshell-h...
- TDA Intro Paper: arxiv.org/pdf/2006.03173.pdf
- Mathematical UMAP Blogpost: topos.site/blog/2024-04-05-un...
- UMAP Author Talk: • UMAP Uniform Manifold ...
- UMAP vs. t-SNE Global preservation paper: dkobak.github.io/pdfs/kobak20...
- Fuzzy Topology Slidedeck: speakerdeck.com/lmcinnes/umap...
- Short UMAP Tutorial: jyopari.github.io/umap.html
Image Sources:
- Thumbnail Image: johncarlosbaez.wordpress.com/...
- Persistent Homology: orbyta.it/tda-in-a-nutshell-h...
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▬▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬
00:00 Introduction
00:32 Local vs. Global Technqiues
1:25 Is UMAP better?
02:08 The Paper
02:40 Topological Data Analysis Primer
04:04 Simplices
05:04 Filtration
06:22 Persistent Homology
07:02 UMAP Overview
07:40 Step 1: Graph construction
08:25 Uniform distribution
09:44 Non-uniform real-world data
10:48 Enforcing uniformity
12:05 Exponential decay
12:43 Local connectivity constraint
14:24 Distance function
16:19 Local metric spaces
17:00 Fuzzy simplicial complex
18:38 The full picture of step 1
19:10 Step 2: Graph layout optimization
19:55 Comparing graphs
21:15 Cross entropy loss
22:14 Attractive and repulsive forces
22:56 More details
24:04 Code
26:28 t-SNE vs. UMAP
27:24 Outro
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[@brunotagna4220]

Your videos are great, super high quality and clear explanations. Thanks you so much!

[@Wilkshot]

Excellent.

[@LibertyEater]

BEST DIMENSIONAL REDUCTION VIDEO SERIES EVER! You are the 3blue1brown for data mining.

[@DeepFindr]

Thanks for the nice words!

[@AppleOrPc]

Perfect! Just in time for my ML final lmao

[@DeepFindr]

Haha awesome! Good luck :)