=== Clustering stats for training data ===

Cluster 0
(((((((9.268562931842:53.68751,(9.04642115733242:53.50392,9.10217584293551:53.50392):0.18359):1.0697,(9.14115665126507:53.74312,9.28262052097291:53.74312):1.01408):7.00871,8.99710343198015:61.76591):4.36373,((9.26020084093955:59.48493,9.00144724655258:59.48493):1.5447,9.25843775960045:61.02962):5.10001):7.48117,(((9.09950216643713:64.80905,(9.47977761822612:58.75028,9.69742219348163:58.75028):6.05876):4.5918,8.76703430524383:69.40084):4.01398,(8.91606809552816:71.6818,9.24643432536618:71.6818):1.73302):0.19598):0.79888,8.79433087998391:74.40968):1.48795,((9.07199858075306:71.17228,8.57221027471203:71.17228):3.12043,9.84576225140806:74.2927):1.60494)

Cluster 1
((8.3689293314247:73.59234,((8.56350951313391:64.95306,8.22513717724351:64.95306):4.04158,8.64773241799898:68.99464):4.59771):1.71879,8.95863383604915:75.31114)

Clustered Instances

0      19 ( 79%)
1       5 ( 21%)


Class attribute: class
Classes to Clusters:

  0  1  <-- assigned to cluster
  9  0 | normal_ovarian_surface_epithelium
 10  5 | tumoral_serous

Cluster 0 <-- normal_ovarian_surface_epithelium
Cluster 1 <-- tumoral_serous

Incorrectly clustered instances :	10.0	 41.6667 %