Yu Chen

Clustering improves support vector machines classification performance even without the kernel trick

With suitable kernels and parameters, support vector machines (SVMs) usually outperform other classification methods in terms of accuracy and generalization ability. However, finding appropriate kernels and hyperparameters is time-consuming, especially for large-scale classification tasks. In this paper, we demonstrate...