A Kernel Prototype-based Clustering Algorithm

One-class SVM is a kernel-based method which utilizes the kernel trick for data clustering. However it is only able to detect one cluster of non-convex shape. In this study, we propose a strategy using one-class SVM to calculate the centroid of the sphere for each cluster in feature space. In addition, a mechanism is provided to control the position of the… CONTINUE READING