Erfan Sadeqi Azer

A Practical Algorithm for Distributed Clustering and Outlier Detection

We study the classic k-means/median clustering, which are fundamental problems in unsupervised learning, in the setting where data are partitioned across multiple sites, and where we are allowed to discard a small portion of the data by labeling them as outliers. We propose a simple approach based…