activity
20182021
most cited(k, l)-Medians Clustering of Trajectories Using Continuous Dynamic Time Warping

22 citations · 23 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DS2021

Enumeration of Far-Apart Pairs by Decreasing Distance for Faster Hyperbolicity Computation

David Coudert, André Nusser, Laurent Viennot

Hyperbolicity is a graph parameter which indicates how much the shortest-path distance metric of a graph deviates from a tree metric. It is used in various fields such as networkin…

cs.LG202022 cited

(k, l)-Medians Clustering of Trajectories Using Continuous Dynamic Time Warping

Milutin Brankovic, Kevin Buchin, Koen Klaren +3

Due to the massively increasing amount of available geospatial data and the need to present it in an understandable way, clustering this data is more important than ever. As cluste…

cs.CG20201 cited

When Lipschitz Walks Your Dog: Algorithm Engineering of the Discrete Fréchet Distance under Translation

Karl Bringmann, Marvin Künnemann, André Nusser

Consider the natural question of how to measure the similarity of curves in the plane by a quantity that is invariant under translations of the curves. Such a measure is justified…

cs.CG2019

Walking the Dog Fast in Practice: Algorithm Engineering of the Fréchet Distance

Karl Bringmann, Marvin Künnemann, André Nusser

The Fréchet distance provides a natural and intuitive measure for the popular task of computing the similarity of two (polygonal) curves. While a simple algorithm computes it in ne…

cs.SI2018

Phase Transition of the 2-Choices Dynamics on Core-Periphery Networks

Emilio Cruciani, Emanuele Natale, André Nusser +1

Consider the following process on a network: Each agent initially holds either opinion blue or red; then, in each round, each agent looks at two random neighbors and, if the two ha…