title: Interpretation K-Means clustering with PCA - Python
body: <p>I have implemented a K-Means clustering on a dataset in which I have reduced the dimensionality to 2 features with PCA.</p>
  <p><a href="https://i.stack.imgur.com/Pn8F6.png" rel="nofollow noreferrer">Clustering analysis plot here</a></p>
  <p>Now I am wondering how to interprete this analysis since there is any reference on which are the variables on the axis.
  Given that doubt, I am also wondering if it is a good practice implementg a K-Means on a resized dataset with PCA.</p>
  <p>How can I interprete this kind of clustering?</p>
  <p>Thank you!</p>