Scaling Optimizations for Large-Scale Distributed Data with Lightweight Coresets

摘要

Lightweight coresets are compact representations of data sets such that clustering methods present competitive results in relation to the complete data set. They are constructed by sampling important points from the complete set. We propose a fast method