title: Conducting Cluster Validation by comparing with the Ground Truth
body: <p>How should we carry out cluster validation in terms of average error index or precision or recall?
  My doubt is that say using a dataset D and following my algorithm I get 6 clusters labelled c1,c2,c3,c4,c5,c6 with 50,60,30,40,10,10,10 no of elements in each cluster respectively .</p>
  
  <p>In the dataset D,the actual cluster labels are 1,2,3....6 with 55,45,5,35,10,60 no of elements in each cluster respectively.</p>
  
  <p>Is it necessary that my cluster label c1 must correspond to actual cluster label 1, c2 to 2, c3 to 3,....and so on?</p>
  
  <p>How will I calculate average error index in this scenario?</p>