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# What
Dimensionality reduction techniques like Principal Component Analysis (PCA) or t-SNE can help us reduce the number of features while preserving important information.
# Possible Solutions
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**What is the method?**
ForceAtlas2 is a force-directed graph layout algorithm. Although it was originally designed for visualizing networks, ForceAtlas2 and other force-directed layout algorithms ha…
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It has been shown that other evolutionary algorithms frameworks are developing visualization tools. We need to develop a separate module for this type of functions. Some references here:
[1] Shine, W…
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Hi,
Really nice approach. Is it possible and relatively simple to implement in paradime time-aligned dimensionality reduction? (e.g. https://umap-learn.readthedocs.io/en/latest/aligned_umap_politics…
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Pre-filter out the noisy, high order products of dim pixels so we can greatly reduce the dimensions of the PLD design matrix.
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Some more dimensionality reduction algorithms might be interesting for exploring other visualisations:
- [ ] Diffusion maps: might be interesting since used in other developmental biology projects.…
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🔬 *This is an experiment in doing radically open research. I plan to post all my work on this openly as I do it, tracking it in this issue. I'd love for people to comment, or better yet collaborate! *…
colah updated
5 years ago
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In the [SBERT repository](https://www.sbert.net/examples/training/adaptive_layer/README.html), I found the adaptive layers method referenced in this paper: [_**ESE**: Espresso Sentence Embeddings_](ht…
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rasbt updated
3 years ago