Consensus clustering and fuzzy classification for breast cancer prognosis

Extracting usable and useful knowledge from large and complex data sets is a difficult and challenging problem. In this paper, we show how two complementary techniques have been used to tackle this problem in the context of breast cancer. Diagnosis concerns the identification of cancer within a pati...

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Bibliographic Details
Main Authors: Garibaldi, J.M (Author), Rasmani, K.A (Author), Soria, D. (Author)
Format: Article
Language:English
Published: European Council for Modelling and Simulation 2010
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