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- W2355672493 abstract "The SVM-KNN algorithm combined with SVM and KNN performs better than SVM on accuracy.But in dealing with unbalanced corpus,the performance of SVM-KNN is not as good as SVM classifier.The basic principle of SVM-KNN classifier is as follows: for the data far away from the hyperplane,the SVM-KNN uses SVM to process them.Meanwhile,using the KNN classifier to process the data near the hyperplane.The KNN classifier is biased to the classification which has more data in processing the unbalanced corpus,thus makes the performance of the SVM-KNN classifier greatly reduced.This paper proposed an improved algorithm to overcome the shortcomings of the SVM-KNN: the new method used a way to add punishment which corresponds to the number of support vectors to make the bias be corrected." @default.
- W2355672493 created "2016-06-24" @default.
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- W2355672493 date "2012-01-01" @default.
- W2355672493 modified "2023-09-23" @default.
- W2355672493 title "An Improved SVM-KNN Algorithm Based on Unbalanced Corpus" @default.
- W2355672493 hasPublicationYear "2012" @default.
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