17. Video: When to Use PCA?

Where is PCA Used?

In general, PCA is used to reduce the dimensionality of your data. Here are links to some specific use cases beyond what you covered in this lesson:

1. PCA for microarray data.
2. PCA for anomaly detection.
3. PCA for time series data.

If you ever feel overwhelmed by the amount of data you have, you can look to PCA to reduce the size of your dataset, while still retaining the maximum amount of information (though this does often come at the cost of reducing your data interpretability).