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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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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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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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References :-
https://www.section.io/engineering-education/linear-discriminant-analysis/
https://youtu.be/9IDXYHhAfGA
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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…
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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 am thinking about how we should do the Linear Discriminant Analysis (LDA) in CRRao. I am thinking out loud. Please correct me if I am saying something wrong. The design that I am thinking of is as f…
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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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Welcome to 'DSWP' Team, good to see you here
This issue will helps readers in giving all the guidance that one needs to learn about Linear Discriminant Analysis. Tutorial to Linear Discriminant Ana…
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### pycaret version checks
- [X] I have checked that this issue has not already been reported [here](https://github.com/pycaret/pycaret/issues).
- [X] I have confirmed this bug exists on the [latest…