=== Clustering stats for training data ===

Cluster 0
((((((3.4869136719884:40.70919,(3.63694306796412:40.00637,3.46866533330685:40.00637):0.70282):0.22144,(3.44300071670925:40.8603,3.50788200442586:40.8603):0.07033):3.466,3.42359106763788:44.39664):0.70023,(((3.37093928182003:36.10987,3.45877264898637:36.10987):6.78476,(3.45361020374955:34.41912,3.29875985410731:34.41912):8.4755):0.48755,((3.58637050836029:41.88768,(3.55650172492576:35.87831,((3.44908596219603:31.06273,3.46665443049221:31.06273):0.84606,3.63962787330345:31.90879):3.96952):6.00937):0.98777,(3.45229044089741:40.15559,3.25386957462455:40.15559):2.71986):0.50672):1.71471):0.21623,3.44011633864692:45.3131):0.53223,(((3.46506558557102:32.68225,(3.52756859260211:23.45926,3.43126009054278:23.45926):9.22299):12.22355,(3.64117062367079:26.55879,3.51815421313757:26.55879):18.34702):0.14825,3.53878507623815:45.05406):0.79127)

Clustered Instances

0      24 ( 96%)
1       1 (  4%)


Class attribute: class
Classes to Clusters:

  0  1  <-- assigned to cluster
 17  1 | ATL
  7  0 | normal

Cluster 0 <-- ATL
Cluster 1 <-- No class

Incorrectly clustered instances :	8.0	 32      %