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Hello, I would like to ask if reducing the dimensionality to 32 instead of a higher or lower dimension was determined through experimentation?
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## DoD
- [x] Introduction of what this notebook does: Certified Coordinates Selection (CCS) for dimension reduction with Laplace prior and wavelets for sparse representation of signal
- [ ] Descript…
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### System Info
NA
### Who can help?
@ArthurZucker
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples…
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The choice of dimensionality reduction will affect whether or not we can 'record' how dimensionality reduction is effected on the search string embedding at runtime.
**Why is this important?**
If…
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**Is your feature request related to a problem? Please describe.**
I would like to have a GPU-accelerated version of the PaCMAP algorithm, a competitor to UMAP. Personally, I would use this with t…
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This issue is a follow up from our meeting on Thursday, August 1st.
We need to further discuss what projection/dimension reduction technique we implement. Mentioned during the meeting were Principa…
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Input vectors in biotrainer are usually embeddings from protein language models. They usually have large dimensions from 512 to 1024 dimensions or even bigger. Therefore, it is interesting to see, if …
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Using this issue to note down internal discussion about conv performance.
### Problem
1x1 filter convolutions get converted to `linalg.generic` ops during the global optimization pipeline. For exam…
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# Dimensionality Reduction Methods Using FIFA 18 Player Data – schochastics - all things R
[https://blog.schochastics.net/posts/2017-11-19_dimensionality-reduction-methods/index.html](https://blog.…
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Hello Leland,
Thank you for sharing this new algorithm.
I have a question regarding evaluation measures of dimensionality reduction methods. I'm aware of trustworthiness and continuity, but I'm lo…