KNet jointly optimizes a deep kernel and its spectral embedding through an HSIC objective, yielding strong clustering accuracy on non-convex and real datasets and allowing out-of-sample clustering.
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Deep Kernel Learning for Clustering
KNet jointly optimizes a deep kernel and its spectral embedding through an HSIC objective, yielding strong clustering accuracy on non-convex and real datasets and allowing out-of-sample clustering.