title: Choosing Clustering Method based on results
body: <p>I'm using WEKA for my thesis and have over 1000 lines of data. The database includes demographical information (Age, Location, status etc.) followed by name of products (valued 1 or 0). The end results is a recommender system.
  I used two methods of clustering, <code>K-Means</code> and <code>DBScan</code>.  </p>
  
  <p>When using <code>K-means</code> I tried 3 different number of cluster, while using <code>DBscan</code> I chose 3 different epsilons (Epsilon 3 = 48 clusters with ignored 17% of data, Epsilone 2.5 = 19 clusters while cluster 0 holds 229 items with ignored 6%.) Meaning i have 6 different clustering results for same data.</p>
  
  <p>How do I choose what's best suits my data ?</p>