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Pattern Recognition homework2 in NYCU. This project is to implement Fisher’s linear discriminant by using only NumPy.

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Fisher-linear-discriminant

NYCU, Pattern Recognition, homework2

This project is to implement Fisher’s linear discriminant by using only NumPy.

The sample code can be download in this link.

Requirement

In this work, you can use following command to build the environment.

$ conda create --name PR python=3.8 -y
$ conda activate PR
$ conda install matplotlib pandas -y

Find Closed Form Solution & Evaluate

You can use the following command to find the best parameters, and program will automatically generate the evaluation result.

python 310551031_HW2.py

Result

This argument can achieves 0.9 on testing data.

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Pattern Recognition homework2 in NYCU. This project is to implement Fisher’s linear discriminant by using only NumPy.

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