In the correlation clustering problem the input is a signed graph where the sign indicates whether each pair of points should be placed in the same.
The goal of the problem is to compute a clustering which minimizes the number of disagreements with such recommendation. Thanks to its many practical ...
Clustering decisions are irrevocable: • create a new singleton cluster with the newly arrived node; or. • Add that node to a preexisting cluster.
In this paper we study the problem in the classic online setting with recourse; The vertices of the graphs arrive in an online manner and the goal is to ...
The key insight behind our proof is that the Pivot algorithm can use a small random sample to “sparsify” the input instance so that it is easily clusterable.
People also ask
Does correlation affect clustering?
What is correlation based clustering methods in data mining?
We study the online clustering problem where data items arrive in an online fashion. The algorithm maintains a clustering of data items into similarity classes.
Missing: Consistent | Show results with:Consistent
Online and Consistent Correlation Clustering. Jul 19, 2022. Speakers. Organizer. Like the format? Trust SlidesLive to capture your next event!
Online and Consistent Correlation Clustering · Computer Science, Mathematics. ICML · 2022.
Two phases: Offline and Online. • Offline Phase: corrupted random subgraph of 𝜖-fraction of vertices revealed offline. • Adversary chooses 𝛼-fraction of ...
Nov 9, 2021 · We study online correlation clustering with offline advice both theoretically and empirically.
Missing: Consistent | Show results with:Consistent