Distance functions on random geometric graphs uniform density. If we build an unweighted kNN graph based on this data and apply Isomap to recover the point configuration, we get the figure on the right. Obviously, it is - Path graph - Document - PDFSEARCH.IO

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	Distance functions on random geometric graphs uniform density. If we build an unweighted kNN graph based on this data and apply Isomap to recover the point configuration, we get the figure on the right. Obviously, it is Add to Reading List Document Date: 2012-12-21 09:36:16 Open Document File Size: 523,96 KB Share Result on Facebook City Vancouver / Edinburgh / Granada / / Company Neural Information Processing Systems / / Country Spain / Canada / Scotland / / IndustryTerm electrical network / machine learning applications / / Organization International Machine Learning Society / / ProvinceOrState British Columbia / / PublishedMedium Machine Learning / / Technology machine learning / / SocialTag Graph Shortest path problem Distance Median graph Graph theory Mathematics Theoretical computer science

Distance functions on random geometric graphs uniform density. If we build an unweighted kNN graph based on this data and apply Isomap to recover the point configuration, we get the figure on the right. Obviously, it is Add to Reading List