=== Clustering stats for training data ===

Cluster 0
(((((((((((((((1.89977635790288:56.80155,1.89272167469926:56.80155):1.43905,(1.9568129040512:58.12044,1.94118152587954:58.12044):0.12017):1.25786,(2.16756780728739:59.26601,(1.98041336331204:56.71032,2.03589111737203:56.71032):2.55568):0.23246):1.46486,(2.1852095084144:58.12828,((2.02101916170969:56.76477,1.72805818692366:56.76477):0.54635,1.96373346279303:57.31112):0.81716):2.83505):1.51883,2.21159282326699:62.48216):1.36179,2.09362191150409:63.84394):1.27186,2.07469392460652:65.1158):0.34602,(2.03633949144647:62.8522,1.92525982478595:62.8522):2.60962):0.24172,1.98585315384626:65.70355):2.60303,1.99239586060507:68.30657):0.81576,1.86597479406441:69.12233):2.89801,1.92424844662847:72.02034):2.04234,1.82606600282098:74.06268):5.59834,2.02705607598357:79.66102):5.36516,2.01527154455491:85.02617)

Clustered Instances

0      23 ( 96%)
1       1 (  4%)


Class attribute: class
Classes to Clusters:

  0  1  <-- assigned to cluster
 12  0 | normal
 11  1 | tumoral

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

Incorrectly clustered instances :	11.0	 45.8333 %