PCA The main purposes of a principal component analysis are the analysis of data to identify patterns and finding patterns to reduce the dimensions of the dataset with minimal loss of information.
python3 sample_scratch.py
python3 sample.py
- https://jakevdp.github.io/PythonDataScienceHandbook/05.09-principal-component-analysis.html
- https://machinelearningmastery.com/calculate-principal-component-analysis-scratch-python/
- https://glowingpython.blogspot.com/2011/07/principal-component-analysis-with-numpy.html
- https://glowingpython.blogspot.com/2011/07/pca-and-image-compression-with-numpy.html
- https://setosa.io/ev/principal-component-analysis/
- https://stats.stackexchange.com/questions/2691
- https://www.python-course.eu/principal_component_analysis.php
- https://stackoverflow.com/questions/13224362/principal-component-analysis-pca-in-python
- https://www.youtube.com/watch?v=FgakZw6K1QQ