=== Clustering stats for training data ===

Cluster 0
(((((((((((((((((((((4.76101899628115:50.8321,4.44055752036548:50.8321):0.81306,4.38472161286742:51.64515):1.57479,4.39506639797197:53.21994):2.74944,4.58224345282007:55.96938):1.00388,(4.47529989663911:52.58008,(4.43255421462473:49.2894,(5.12767853243693:46.43798,4.55188472256523:46.43798):2.85142):3.29068):4.39318):1.7924,5.19214024924048:58.76566):0.36563,5.496074916518:59.13129):0.40877,4.46837770767475:59.54006):0.14357,4.43420882049671:59.68363):0.24753,4.63728433300753:59.93115):0.14014,4.38072385754462:60.07129):1.00399,4.72173724884475:61.07528):1.53186,5.70361568298078:62.60714):0.74808,5.16293998231874:63.35522):1.23659,4.7330438834662:64.59182):2.50541,5.07987481511707:67.09723):2.16162,4.77456724857495:69.25885):0.22114,5.32156120071264:69.47999):0.87379,5.78508209033659:70.35378):0.26229,4.88198981257529:70.61606):0.8264,4.46546283356602:71.44246)

Clustered Instances

0      25 ( 96%)
1       1 (  4%)


Class attribute: class
Classes to Clusters:

  0  1  <-- assigned to cluster
 18  1 | tumoral_luminal_A
  7  0 | normal

Cluster 0 <-- tumoral_luminal_A
Cluster 1 <-- No class

Incorrectly clustered instances :	8.0	 30.7692 %