briggsrrr/pca-reduction

PCA-Reduction

This project takes a dataset file and produces a screeplot for analyzing the PC components as well as the dataset projected on the first two PC components.

Some file descriptions:

• DataGenerator.py: Can generate valid .cvs files for random based testing (Some are already generated)
• Nutrition.csv is a non-random dataset that works well with PCA
• PCA.py: Performs PCA dimentionality reduction on given dataset

To use with an sklearn dataset (IRIS or BREASTCANCER):

1. python3 ./pca.py
2. enter either "iris" or "breastcancer" to use the respective sklearn datasets

To use with a data file:

1. python ./pca.py
2. enter the name of the file ex. "Nutrition.csv"

Notes:

Currently designed to only take input data files configured in a certain way. To see configuration reference any of the .csv files in this project.
Make sure to have sklearn, matplotlib, and numpy libraries installed

Pictures:

Breastcancer context:

Nutrition context: