=== Clustering stats for training data ===

Cluster 0
((((2.7790351503109:63.60094,(((((((((((((((3.09874150135513:58.97903,((((((((((2.76138831165445:56.16809,(((((2.77691739461536:48.84078,2.79426994559885:48.84078):3.50439,2.83557115897706:52.34517):2.32354,(2.74927289070666:49.54986,2.79765488163306:49.54986):5.11884):0.75204,2.61338219433325:55.42074):0.30419,2.59390090948109:55.72494):0.44316):0.14513,3.09898088471412:56.31322):0.21552,2.64077952849416:56.52874):0.26857,2.58297692173624:56.79731):0.21463,2.71878754340878:57.01194):0.1357,((3.14518120766621:53.10298,3.03538845260745:53.10298):4.02441,2.67115255625179:57.12739):0.02024):0.29415,(2.94218026387512:55.72896,2.63353702181127:55.72896):1.71283):0.37987,2.58811121797808:57.82166):0.24184,2.60032165394896:58.0635):0.36505,2.70883602332987:58.42856):0.55048):0.21778,2.80235374872597:59.19681):0.34044,2.82482432376069:59.53725):0.3075,3.13586372321861:59.84476):0.09369,2.71725137737498:59.93844):0.13214,2.8298425239306:60.07058):0.79696,(((((2.81102439501668:56.46775,((2.42705925969783:52.16782,((2.54371382398127:48.78287,2.61964551436726:48.78287):2.15138,2.52297804899146:50.93425):1.23357):0.17479,2.65819066259613:52.34261):4.12514):0.66289,2.39551683420419:57.13064):1.85908,2.62431086567325:58.98972):0.66586,2.39756428255685:59.65558):0.37588,2.92823912445544:60.03146):0.83609):0.04535,2.90643444716245:60.91289):0.92151,3.01518215273727:61.83441):0.31304,2.71827233235074:62.14744):0.39813,2.65340624372647:62.54557):0.34124,3.07447561134361:62.88681):0.43194,2.93403047299472:63.31875):0.1956,2.87959011701879:63.51435):0.06184,2.65420757761559:63.57618):0.02476):0.02335,2.90616507701437:63.62429):0.30247,3.12732542448009:63.92676):0.61959,2.93368432387908:64.54635)

Clustered Instances

0      48 ( 98%)
1       1 (  2%)


Class attribute: class
Classes to Clusters:

  0  1  <-- assigned to cluster
 34  1 | tumoral
 14  0 | normal

Cluster 0 <-- tumoral
Cluster 1 <-- No class

Incorrectly clustered instances :	15.0	 30.6122 %