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Data Science Academy · Lesson

Scale First, Then Fit PCA

Why standardization matters here.

PCA Cares About Scale

PCA chases the largest variance, but variance depends on units. A feature in big numbers can dominate just because of its scale.

A Unit Trap

Imagine salary in dollars beside age in years. Salary varies in thousands, so PCA would treat it as far more important, unfairly.

All lessons in this course

  1. The Curse of Too Many Features
  2. How PCA Finds Components
  3. Scale First, Then Fit PCA
  4. Choose Components With Scree Plots
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