Cluster arithmetic is a very important technology in the area of data mining.
聚类算法是数据挖掘领域中非常重要的技术。
Firstly we tested the clustering ability to the network data packet of Cluster Arithmetic.
实验中我们首先测试凝聚算法对网络数据流的聚类能力；
In this paper an incremental distance cluster arithmetic based on traditional level cluster arithmetic is proposed and realized.
在传统层次聚类基础上，提出并实现了一种基于距离的增量式聚类算法，并应用于粮食智能决策支持系统中。
In general, the application program running in High-Performance computing Cluster shorten computing period through parallel arithmetic.
高性能集群上运行的应用程序一般通过并行算法来缩短计算周期。
Discussed current arithmetic of balance and mechanism of dynamic server load balance in cluster system of server load balance.
本文主要讨论了网络负载均衡集群系统下，当前的均衡算法和动态负载均衡机制。
So, the traditional KNN arithmetic, clusters training document with highly overlapping word is improved, central vector of cluster is gained.
为此，改进了传统KNN算法，将训练文本中相似度大的文本合并，称为一簇，并计算簇的中心向量。
The concept of parallel-computing based MPI and the implementation of parallel-computing cluster are introduced. The parallel way of image processing arithmetic is presented.
介绍了MPI并行计算的基本概念和并行计算集群的实现，着重论述了图像处理算法的并行实现方法。
The cluster of workstation for parallel arithmetic is established to carry out the large-scale numerical simulation of shallow water flow.
建立了并行计算系统工作站机群，实现了浅水流动的并行数值模拟。
The cluster of workstation for parallel arithmetic is established to carry out the large-scale numerical simulation of shallow water flow.
建立了并行计算系统工作站机群，实现了浅水流动的并行数值模拟。
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