CLASSIFICATION OF MULTIPLE CANCER TYPES USING FUZZY SUPPORT VECTOR MACHINES AND OUTLIER DETECTION METHODS
نویسندگان
چکیده
منابع مشابه
Classification of Multiple Cancer Types Using Fuzzy Support Vector Machines and Outlier Detection Methods
The support vector machine (SVM) is a new learning method and has shown comparable or better results than the neural networks on some applications. In this paper, we applied SVM to classify multiple cancer types by gene expression profiles and exploit some strategies of the SVM method, including fuzzy logic and statistical theories. Using the proposed strategies and outlier detection methods, t...
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ژورنال
عنوان ژورنال: Biomedical Engineering: Applications, Basis and Communications
سال: 2005
ISSN: 1016-2372,1793-7132
DOI: 10.4015/s1016237205000457