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...
Main Authors: | Garibaldi, J.M (Author), Rasmani, K.A (Author), Soria, D. (Author) |
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Format: | Article |
Language: | English |
Published: |
European Council for Modelling and Simulation
2010
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Subjects: | |
Online Access: | View Fulltext in Publisher View in Scopus |
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