Code and Data Repository for SOS-SDP: an Exact Solver for Minimum Sum-of-Squares Clustering
该仓库提供了SOS-SDP算法的源代码，这是一种基于分支定界技术精确求解最小平方和聚类问题的算法，实验数据来自UCI机器学习库。
SOS-SDP is an exact algorithm based on the branch-and-bound technique for solving the Minimum Sum-of-Squares Clustering (MSSC) problem. This repository contains the source code used in the paper "SOS-SDP: an Exact Solver for Minimum Sum-of-Squares Clustering". The instances used in the experiments are available at UCI Machine Learning repository.