The classification of micro-arrays data relative to ovarian cancer is performed without using any priori information via a specially designed technique, consisting of cascading two algorithms, namely Principal Component Analysis and K-means clustering, via a Partitive Division orthogonal to the Principal Directions Validation is then made by investigating correlations between the obtained clustering and the a priori clinical classification, possibly suggesting new and useful information on the investigated disease.
Classification of Ovarian Cancer via Micro-Arrays Data Analysis
diego liberati
2018
Abstract
The classification of micro-arrays data relative to ovarian cancer is performed without using any priori information via a specially designed technique, consisting of cascading two algorithms, namely Principal Component Analysis and K-means clustering, via a Partitive Division orthogonal to the Principal Directions Validation is then made by investigating correlations between the obtained clustering and the a priori clinical classification, possibly suggesting new and useful information on the investigated disease.File in questo prodotto:
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