1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets
Baris Sumengen, Anand Rajagopalan, Gui Citovsky +6
Hierarchical Agglomerative Clustering (HAC) is one of the oldest but still most widely used clustering methods. However, HAC is notoriously hard to scale to large data sets as the…
cs.LG2019
Online Hierarchical Clustering Approximations
Aditya Krishna Menon, Anand Rajagopalan, Baris Sumengen +3
Hierarchical clustering is a widely used approach for clustering datasets at multiple levels of granularity. Despite its popularity, existing algorithms such as hierarchical agglom…