kernel matrix
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Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning Fangchen Y u
These techniques calibrate an initial non-metric distance matrix estimated on incomplete data to a distance metric.
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Tanimoto Random Features for Scalable Molecular Machine Learning
The Tanimoto coefficient is commonly used to measure the similarity between molecules represented as discrete fingerprints, either as a distance metric or a positive definite kernel.
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Exact Gaussian Processes on a Million Data Points
Ke Wang, Geoff Pleiss, Jacob Gardner, Stephen Tyree, Kilian Q. Weinberger, Andrew Gordon Wilson
Neural Information Processing Systems http://nips.cc/
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