Nearest Mean Classification via One-Class SVM

초록

We propose a new multi-class classification algorithm based on one-class SVM and nearest mean classifier methods. A wrapper-style feature selection scheme designed specifically for our algorithm is also provided for increased classification accuracy. It will be demonstrated that the proposed classification algorithm provide excellent performance, and in particular performs strictly better than some of the currently known best classification algorithms on five biological datasets.

키워드