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### Reason/inspiration (optional)
We would like a new entry on the `Linear Discriminant Analysis` concept under Sklearn. The entry should go in a new file under `docs/content/sklearn/concepts/linear-…
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**Linear Discriminant Analysis is needed to be added.**
1. It should be implemented in a single Jupyter Notebook. Algorithm. The notebook should be in a proper folder, it should contain **Introduct…
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I propose the inclusion of both the Discriminant function analysis and the Permuted discriminant function analysis in JASP. At present, as far as I can tell, neither of these analysis functions are a…
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First of all thanks for the great reference, you've been created and it performs well in its current format.
But, Is it acceptable to use covariance matrices instead of scatter matrices in LDA?
sh…
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References :-
https://www.section.io/engineering-education/linear-discriminant-analysis/
https://youtu.be/9IDXYHhAfGA
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Hi all,
My group is interested in implementing Kernel Linear Discriminant Analysis (LDA) with the paper described here http://www.kernel-machines.org/papers/upload_21840_GDA.pdf and I'd like to kn…
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### Before You File a Proposal Please Confirm You Have Done The Following...
- [X] I have [searched for related issues](https://github.com/typescript-eslint/typescript-eslint/issues?q=is%3Aissue+la…
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Implementation of the following:
- [x] Principal Component Analysis (PCA)
- [x] Principal Component Regression (PCR)
- [x] Partial Least Squares Regression (PLSR)
- [ ] Sammon Mapping
-…
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@PetalsOnWind, I am GSSOC 2021 participant and want to introduce dimentionality reduction technique like LDA. Can you assign it to me ?
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I would like to be able to use LDA to help visualize and analyze multidimensional data that has been categorized, in order to evaluate the quality of the data. We have used a python package (`scikit-l…