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Feature selection techniques have become an apparent need in many bioinformatics applications. In this article, taking into account the protein-protein interactions in sequence and spatial structure of protein, we propose a new correlation based method to capture these correlations between features to check feature redundancy, and implement a corresponding feature selection algorithm CBPFS. Features...
In recent years, Internet traffic classification using machine learning has become a new direction in network measurement. Because supervised clustering algorithm need accuracy of training sets and it can not classify unknown application, we introduced complex network's community detecting algorithm, a new unsupervised classify algorithm, which have previously not been used for network traffic classification...
Transductive confidence machines (TCMs) when used in classification problems can provide us with reliability for every classification. Many machine learning algorithms, such as KNN algorithm, etc., have been incorporated with TCM, while there's no SOM classification method based on TCM. Considering properties of SOM map unit, this paper first designs a novel nonconformity measurement and TCM-SOM classification...
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