Delayed Assignments in Online Non-Centroid Clustering with Stochastic Arrivals 事件

Delayed Assignments in Online Non-Centroid Clustering with Stochastic Arrivals arXiv:2601.16091v2 Announce Type: replace-cross Abstract: Clustering is a fundamental problem, aiming to partition a set of elements, like agents or data points, into clusters such that elements in the same cluster are closer to each other than to those in other clusters. In this paper, we present a new framework for studying online non-centroid clustering with delays, where elements, that arrive one at a time as poi