3 citations · 3 across the 3 of their papers we have counts for
4 papers · 1 filter
A Fixed Parameter Sublinear Time Approximation Scheme for Metric Min-Sum Clustering
Karthik C. S., Euiwoong Lee, Yuval Rabani +2
Metric -minsum clustering is a simple, natural, appealing density-based clustering criterion whose computational complexity remains poorly understood, despite the progress achie…
Spectral Dual Fitting for -Means
Aditya Anand, Moses Charikar, Vincent Cohen-Addad +5
We give a new dual fitting algorithm which gives improved approximation ratios of and for -Means in (high-dimensional) Euclidean and genera…
An Improved Greedy Approximation for (Metric) -Means
Moses Charikar, Vincent Cohen-Addad, Ruiquan Gao +3
Clustering is a basic task in data analysis and machine learning, and the optimization of clustering objectives are well-studied optimization problems; amongst these, the -Means…
Accelerating Scientific Research with Gemini: Case Studies and Common Techniques
David P. Woodruff, Vincent Cohen-Addad, Lalit Jain +33
Recent advances in large language models (LLMs) have opened new avenues for accelerating scientific research. While models are increasingly capable of assisting with routine tasks,…