Doubly Stochastic Normalization of the Gaussian Kernel Is Robust to Heteroskedastic Noise
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A fundamental step in many data-analysis techniques is the construction of an affinity matrix describing similarities between data points. When the data points reside in Euclidean space, a widespread approach is to from an affinity matrix by the Gaussian kerne... ...
