Support vector machine classification for large data sets via minimum enclosing ball clustering

摘要

Support vector machine (SVM) is a powerful technique for data classification. Despite of its good theoretic foundations and high classification accuracy, normal SVM is not suitable for classification of large data sets, because the training complexity of