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...

詳細記述

書誌詳細
出版年:Proceedings - 24th European Conference on Modelling and Simulation, ECMS 2010
第一著者: Garibaldi J.M.; Soria D.; Rasmani K.A.
フォーマット: Conference paper
言語:English
出版事項: European Council for Modelling and Simulation 2010
オンライン・アクセス:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857934629&doi=10.7148%2f2010-0015-0022&partnerID=40&md5=21c9e8e42fc925e5b4c9ac30f80a07e5