The classification of micro-arrays data relative toovarian cancer is approached without using any a prioriinformation via a specially designed technique, consisting ofcascading two clustering algorithms, namely PDDP, recalled,and well known K-means. Then validation is made byinvestigating correlations between the obtained clustering andthe a priori clinical classification, possibly suggesting new anduseful information on the investigated disease
Towards classification of ovarian cancer via micro-arrays data analysis
diego liberati
2020
Abstract
The classification of micro-arrays data relative toovarian cancer is approached without using any a prioriinformation via a specially designed technique, consisting ofcascading two clustering algorithms, namely PDDP, recalled,and well known K-means. Then validation is made byinvestigating correlations between the obtained clustering andthe a priori clinical classification, possibly suggesting new anduseful information on the investigated diseaseFile in questo prodotto:
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