title: Hierarchical clustering termination
body: <p>To my understanding, Agglomerative Hierarchical clustering starts by clustering the points that are closest to each other. I am trying to get the different clustering results where only a certain percentage of the data has been clustered for comparison. i.e. 40%, 50%, 60%...</p>
  <p>So I need a way to terminate the hierarchical clustering(ward's) algorithm using sklearn after it has clustered a specified percentage of the data points. For example, stop clustering after 60% of the dataset has been clustered.</p>
  <p>Please explain what would be the best way to do this?</p>