DEV Community

Cover image for Day 4: Why Use Principal Component Analysis?
Matt Curcio
Matt Curcio

Posted on


Day 4: Why Use Principal Component Analysis?

I am working on an article that discusses Principal Component Analysis. Here is a sneak-peak.

Principal components analysis is a valuable tool for revealing hidden structure in a dataset with many features/variables. By using PCA, one may be able to:

  1. Identify which variables are important and shape the dynamics of a system

  2. Reduce the dimensionality of the data

  3. Maximize the variance that lies hidden in a dataset and rank them

  4. Filter noise from data

  5. Compress the data

  6. Preprocess data for further analysis or model building.

Top comments (0)

Why You Need to Study Javascript Fundamentals

The harsh reality for JS Developers: If you don't study the fundamentals, you'll be just another “Coder”. Top learnings on how to get to the mid/senior level faster as a JavaScript developer by Dragos Nedelcu.