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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Linear Discriminant Analysis (LDA) is a dimensionality reduction and classification techni…
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**Description:**
Allow for PCA/MDS (multidimensional scaling); possible in JavaScript or Python.
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### Title of the resource
Clustering and Visualising Documents using Word Embeddings
### Resource type
External Resource
### Authors, editors and contributors
Jonathan Reades, Jennie Williams, Al…
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![image](https://user-images.githubusercontent.com/53068787/138546254-a6c1bbb7-8c8a-43db-9e72-97fbd2429478.png)
source: https://www.youtube.com/watch?v=7mmcEl_1CPw
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**What is the method?**
denSNE (and the related densMAP, separate issue) address the issue of density preservation in two-dimensional visualization. While t-SNE assigns larger populations a greater a…
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**What is the method?**
Neighborhood Components Analysis (NCA) tries to find a feature space such that a stochastic nearest neighbour algorithm will give the best accuracy. I feel like this is sort o…
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@Samsomyajit(Somyajit Chakraborty)
As Sayan da(@sayanmondal2098 ) has reported me earlier that Dimensionality Reduction will play a huge(important) role in our creation of perfectly modeled Text Summ…
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Hi!
I was playing a bit with spikecomponents, and I was wondering if someone was already working on it, or if it could be worth it that I add a clustering class (https://github.com/SpikeInterface/s…
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Hello, When i execute command plumed driver --mf_pdb traj.pdb with plumed_ex2.dat file and I encounter error with in pca part:
DRIVER: Found molfile format trajectory pdb with name traj.pdb
PLUMED: …
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In other work we have shown that we can apply dimensionality reduction to the asymptotic relation in a very simple way using PCA.
Implementing this would require reworking the Asy_peakbag part of …