Robust clustering tools based on optimal transportation
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DOI: 10.1007/s11222-018-9800-z
Abstract: A robust clustering method for probabilities in Wasserstein space is introduced. This new ‘trimmed k-barycenters’ approach relies on recent results on barycenters in Wasserstein space that allow intensive computation, as required by clustering algorithms to… read more here.
Keywords: space; based optimal; optimal transportation; tools based ... See more keywords