The Magic of Principal Component Analysis through Image Compression

Utilizing Images to Beautifully Demonstrate PCA

Brian Roepke
Towards Data Science
5 min readOct 24, 2021

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Photo by Erik Mclean on Unsplash

What is PCA?

Principal Component Analysis or PCA is a dimensionality reduction technique for data sets with many continuous (numeric) features or dimensions. It uses linear algebra to determine the most important features of a dataset…

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I am a Data Science and Analytics leader for a large cloud platform. I have a BSc in Data Analytics and share easy-to-consume stories with working code.