Evaluation of Feature Subset Selection, Feature Weighting, and Prototype Selection for Biomedical Applications
نویسندگان
چکیده
منابع مشابه
Evaluation of Feature Subset Selection, Feature Weighting, and Prototype Selection for Biomedical Applications
Many medical diagnosis applications are characterized by datasets that contain under-represented classes due to the fact that the disease is much rarer than the normal case. In such a situation classifiers such as decision trees and Naïve Bayesian that generalize over the data are not the proper choice as classification methods. Case-based classifiers that can work on the samples seen so far ar...
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Biomedical datasets usually include a large number of features relative to the number of samples. However, some data dimensions may be less relevant or even irrelevant to the output class. Selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. To this end, this paper presents a hybrid method of filter and wr...
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ژورنال
عنوان ژورنال: Journal of Software Engineering and Applications
سال: 2010
ISSN: 1945-3116,1945-3124
DOI: 10.4236/jsea.2010.31005