We introduce TeraHAC, a (1+ϵ)-approximate hierarchical agglomerative
clu...
We study the consistent k-center clustering problem. In this problem, th...
We study the problem of finding connected components in the Adaptive
Mas...
We study the problem of graph clustering under a broad class of objectiv...
Obtaining scalable algorithms for hierarchical agglomerative clustering ...
We present a dynamic algorithm for maintaining the connected and
2-edge-...
Graph clustering and community detection are central problems in modern ...
We study the widely used hierarchical agglomerative clustering (HAC)
alg...
We study fundamental graph problems such as graph connectivity, minimum
...
We provide new algorithms for maintaining approximate distances in a wei...
DBSCAN is a popular density-based clustering algorithm. It computes the
...
In fully dynamic graphs, we know how to maintain a 2-approximation of ma...
Identifying the connected components of a graph, apart from being a
fund...
We introduce an approach that enables for efficiently generating many
in...
We give new partially-dynamic algorithms for the all-pairs shortest path...
We introduce the Adaptive Massively Parallel Computation (AMPC) model, w...
As a fundamental tool in hierarchical graph clustering, computing connec...
We present a decremental data structure for maintaining the SPQR-tree of...