1 引言 关键词：并行聚类；计算机集群；数据库；延展性 [gap=812]Key words】parallel clustering; computer colony; database; extensibility
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parallel clustering algorithms 并行聚类算法
distribution parallel clustering 分布式并行聚类
parallel distributed clustering 并行分布式聚类
Parallel hierarchical clustering 并行层次聚类
parallel partitional clustering algorithm 并行划分聚类
parallel K-means clustering 并行K均值聚类算法
Parallel Distributed Self-Organization Clustering Protocol 自组织的簇协议
Secondly, this paper studied the parallel algorithm model, and designed a parallel clustering algorithm based on the density, it can make the parallel clustering time complexity into O(n/P) through three time computing with the time complexity of O(n~2/P) .
通过对并行计算模型的研究,设计了一种基于密度的并行聚类算法,通过3次时间复杂度为O(n~2/P)的并行运算,能使并行聚类过程的时间复杂度变为O(n/P)。
参考来源 - 基于密度的并行聚类算法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Over the past three years, parallel clustering has begun to change the face of supercomputing.
在过去的三年里，并行集群已在改变着超级计算的面貌。
Predictably, enthusiasm in open-source circles has spawned hundreds -- if not thousands -- of parallel clustering projects.
可以想像得到，开放源码圈内的高涨热情已导致产生了数百 -- 如果不是数千的话 -- 并行集群项目。
The term components refers to the logical modules that make up the parallel clustering system known as Pseudo Remote Threads. The system consists of the following components
组件一词是指组成“伪远程线程”并行集群系统的逻辑模块。
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