=== Clustering stats for training data ===

Cluster 0
((9.37072869692202:39.47688,8.83287072155901:39.47688):0.41307,(((7.43992524967169:37.46386,7.3121261344426:37.46386):1.25999,((7.47192198090206:30.90463,((7.24046203030426:30.14011,7.71857600813755:30.14011):0.35082,7.52982692153422:30.49094):0.41369):6.10837,7.29041054817066:37.013):1.71085):1.1566,7.16342961571131:39.88045):0.0095)

Cluster 1
((((6.60754262892226:39.02641,7.62421028291042:39.02641):8.45706,((((7.66583863488949:42.69308,(8.39017331730536:41.84955,8.0363769060517:41.84955):0.84353):0.43606,8.0992364291999:43.12914):1.68611,7.99224234380402:44.81525):0.00174,8.23844697080327:44.817):2.66647):1.01775,7.24335193999438:48.50122):0.01572,7.60025659245968:48.51693)

Clustered Instances

0      10 ( 50%)
1      10 ( 50%)


Class attribute: class
Classes to Clusters:

 0 1  <-- assigned to cluster
 9 1 | normal
 1 9 | RCC

Cluster 0 <-- normal
Cluster 1 <-- RCC

Incorrectly clustered instances :	2.0	 10      %