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Spectral clustering using PCKID – A probabilistic cluster kernel for incomplete data
(Journal article; Tidsskriftartikkel; Manuskript; Peer reviewed; Preprint, 2017-05-19)
In this paper, we propose <i>PCKID</i>, a novel, robust, kernel function for spectral clustering, specifically designed to handle incomplete data. By combining posterior distributions of Gaussian Mixture Models for incomplete data on different scales, we are able to learn a kernel for incomplete data that does not depend on any critical hyperparameters, unlike the commonly used RBF kernel. To evaluate ...