Towards classification of ovarian cancer via micro-arrays data analysis

The classification of micro-arrays data relative to ovarian cancer is approached without using any a priori information via a specially designed technique, consisting of cascading two clustering algorithms, namely PDDP, recalled, and well known K-means. Then validation is made by investigating correlations between the obtained clustering and the a priori clinical classification, possibly suggesting new and useful information on the investigated disease