计算机科学
实施
水准点(测量)
SPARK(编程语言)
并行计算
数据库扫描
比例(比率)
分布式计算
算法
人工智能
程序设计语言
聚类分析
物理
大地测量学
量子力学
地理
树冠聚类算法
相关聚类
作者
Hu Xu,Jun Huang,Minghui Qiu
标识
DOI:10.1145/3132847.3133112
摘要
Recent benchmark studies show that MPI-based distributed implementations of DBSCAN, e.g., PDSDBSCAN, outperform other implementations such as apache Spark etc. However, the communication cost of MPI DBSCAN increases drastically with the number of processors, which makes it inefficient for large scale problems.
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