论文标题
同质和异基平行聚类：概述
Homogenous and Heterogenous Parallel Clustering: An Overview
论文作者
论文摘要
计算机架构和网络的最新进展为并行化聚类算法的机会打开了机会。这种分裂和诱使策略通常会带来更好的结果，从而通过大量的时间性能进行集中式聚类。本文回顾了关键的并行聚类，并提供了对其策略的见解。该评论汇集了并行聚类的不同尝试，以全面地说明了这一新兴领域的进步
Recent advances in computer architecture and networking opened the opportunity for parallelizing the clustering algorithms. This divide-and-conquer strategy often results in better results to centralized clustering with a much-improved time performance. This paper reviews key parallel clustering and provides insight into their strategy. The review brings together disparate attempts in parallel clustering to provide a comprehensive account of advances in this emerging field
