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Signal to Noise ratio and SN clustering thresholds in the SVD June 17, 2016 University of Melbourne Giacomo Caria and Phillip Urquijo 1 SN ratio - Different features for U and V sides, to be understood 3.2 - V direction 2 Clustering


  1. Signal to Noise ratio and SN clustering thresholds in the SVD June 17, 2016 University of Melbourne Giacomo Caria and Phillip Urquijo 1

  2. SN ratio - Different features for U and V sides, to be understood 3.2 - V direction 2

  3. Clustering parameters - The importance of the intersection neighbourhood Efficiency = # cls inside neigh. # intersections Fake rate = norm(# cls outside neigh.) 3

  4. Clustering parameters - The importance of the intersection neighbourhood Efficiency = # cls inside neigh. # intersections Fake rate = norm(# cls outside neigh.) How large should the intersection neighbourhood be ? 4

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