Abstract: The selection of kernel hyperparameters is addressed in this article. The proposed method is based on the approximation of an empirical ideal kernel matrix using three measures of similarity ...
Abstract: The Kernel k-Means algorithm for clustering extends the classic k-Means clustering algorithm. It uses the kernel trick to implicitly calculate distances on a higher dimensional space, thus ...
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