4 papers
Static to Dynamic Correlation Clustering
Nairen Cao, Vincent Cohen-Addad, Euiwoong Lee +7
Correlation clustering is a well-studied problem, first proposed by Bansal, Blum, and Chawla [Mach. Learn. '04]. The input is an unweighted, undirected graph. The problem is to clu…
Minimum Star Partitions of Simple Polygons in Polynomial Time
Mikkel Abrahamsen, Joakim Blikstad, André Nusser +1
We devise a polynomial-time algorithm for partitioning a simple polygon into a minimum number of star-shaped polygons. The question of whether such an algorithm exists has been…
Solving the Correlation Cluster LP in Sublinear Time
Nairen Cao, Vincent Cohen-Addad, Shi Li +7
Correlation Clustering is a fundamental and widely-studied problem in unsupervised learning and data mining. The input is a graph and the goal is to construct a clustering minimizi…
Bounding a Polygon by a Minimum Number of Vertices
Mikkel Abrahamsen, Jack Stade, Shuyi Yan +1
Suppose that a polygon is given as an array containing the vertices in counterclockwise order. We analyze how many vertices (including the index of each of these vertices) we n…