Data driven estimation of Laplace-Beltrami operator

Frederic Chazal, Ilaria Giulini, Bertrand Michel

Neural Information Processing Systems 

Approximations of Laplace-Beltrami operators on manifolds through graph Lapla-cians have become popular tools in data analysis and machine learning. These discretized operators usually depend on bandwidth parameters whose tuning remains a theoretical and practical problem.

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