Given x ∈ (ℝ_≥ 0)^[n]2 recording pairwise
distances, the METRIC VIOLATIO...
When designing clustering algorithms, the choice of initial centers is
c...
Releasing all pairwise shortest path (APSP) distances between vertices o...
Data about individuals may contain private and sensitive information. Th...
Correlation clustering is a central problem in unsupervised learning, wi...
In this paper we study a wide range of variants for computing the (discr...
While the standard unweighted Voronoi diagram in the plane has linear
wo...
Skyline queries are important in many application domains. In this paper...
Metric data plays an important role in various settings such as metric-b...