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```
The following is from a posting by Olivier Grisel. This is something we
should consider learning about and working on.
I wondered if you were aware of the recent developments around sparsity
p…
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**"s4d8_subset_gex.h5ad" file in the clustering section**
Hi, I was going through the clustering chapter and was confused about the file that is read to the adata. So I have 2 questions:
**1 - D…
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For all Mahalanobis metric learners, we should be able to reduce the dimension. For those that optimize the transformation matrix `L`, this can be done explicitely by setting the matrix at init to hav…
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I think I figured out the general technique for simultaneously finding eigenvalues and eigenvectors for any matrix...numerically.
use power iteration to find largest...this gives both the value and…
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I recently read about a new non-linear dimensionality reduction algorithm called UMAP ([github](https://github.com/lmcinnes/umap), [arxiv](https://arxiv.org/abs/1802.03426)), which is much faster than…
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### Have you read the Contributing Guidelines on issues?
- [X] I have read the [Contributing Guidelines on issues](https://github.com/ajay-dhangar/algo/blob/main/CONTRIBUTING.md).
### Description
t…
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Dear Linnarson team,
First of all, thanks for the great dataset.
I was wondering, if there is any possibility to provide a loom file with dim reductions (PCA, tSNE)? Especially these dim reducti…
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Most of the feature preprocessors that we use are based on linear methods. We should look into adding non-linear dimensionality reduction preprocessors, such as:
- http://scikit-learn.org/stable/modul…
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1.PARE: Part Attention Regressor for 3D Human Body Estimation(2021)
img-->volumetric features(before the global average pooling)-->part branch: estimates attention weights +feature branch: performs S…