=== Clustering stats for training data ===

Cluster 0
((((((((2.64246844481673:59.66084,2.40418141890468:59.66084):13.50001,(((2.51088573056214:58.79517,2.62709798321359:58.79517):8.6758,2.6412592173514:67.47097):0.35645,(2.57541590834043:66.59733,2.51636160121323:66.59733):1.23009):5.33343):2.40513,2.59574105412758:75.56598):1.06703,2.60567845137348:76.63301):4.76926,(2.31393999896132:76.46331,2.53445403179263:76.46331):4.93896):0.5875,(2.41440707891564:57.46027,2.53283183338407:57.46027):24.5295):0.14444,2.54765620373008:82.13421):1.51837,(2.49172121802248:69.40524,2.51410606701115:69.40524):14.24734)

Cluster 1
(2.51315677008196:72.20509,2.54417329831534:72.20509)

Clustered Instances

0      16 ( 89%)
1       2 ( 11%)


Class attribute: class
Classes to Clusters:

  0  1  <-- assigned to cluster
 10  0 | normal
  6  2 | tumoral

Cluster 0 <-- normal
Cluster 1 <-- tumoral

Incorrectly clustered instances :	6.0	 33.3333 %