What is the effect of outliers on PCA?

  • It depends on the distribution of the data
  • They can distort the principal components
  • They enhance the performance of PCA
  • They have no effect on PCA
Outliers can significantly distort the principal components identified by PCA, as they can artificially inflate the variance along their direction. It's generally a good practice to address outliers before applying PCA.
Add your answer
Loading...

Leave a comment

Your email address will not be published. Required fields are marked *