Metasample-Based Robust Sparse Representation for Tumor Classification
نویسندگان
چکیده
منابع مشابه
Metasample-Based Robust Sparse Representation for Tumor Classification
In this paper, based on sparse representation classification and robust thought, we propose a new classifier, named MRSRC (Metasample Based Robust Sparse Representation Classificatier), for DNA microarray data classification. Firstly, we extract Metasample from trainning sample. Secondly, a weighted matrix W is added to solve an l1-regularized least square problem. Finally, the testing sample i...
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ژورنال
عنوان ژورنال: Engineering
سال: 2013
ISSN: 1947-3931,1947-394X
DOI: 10.4236/eng.2013.55b016