title: How do I get meaning out of the clusters that I got using K-means?
body: <p>So I am working on a project related to the clustering of ships based on the parameters like - ship length, ship id, ship gross tonnage, ship engine power, ship name, and ship municipality code. Based on these 7 features I performed kmeans clustering and got the following clusters. <a href="https://i.stack.imgur.com/Z0DBK.png" rel="nofollow noreferrer">kmeans clusters</a></p>
  <p>I cannot apply hierarchical clustering because there a million data points. The main question is how do i get information/inference out of these clusters. Like larger ships having less gross tonnage were from these municipality code/areas or something like that.</p>
  <p>I am attaching the notebook link (github) : <a href="https://github.com/mrinalyadav7-atom/Catch_data_clustering" rel="nofollow noreferrer">ntbk_link</a></p>
  <p>If someone could answer it would be of great help.</p>
  <p>Thank you</p>