数据划分 meaning in English
data partitioning
Examples
- The motion of cluster analysis is that makes the data set into several clusters , a cluster is a collection of data objects that are similar to one another within the same cluster and dissimilar to the objects in other cluster
聚类分析的目的就是将数据库中的数据划分成具有一定意义的子类，使得不同子类中的数据尽可能不同，而同一子类中的数据尽可能相似。 - We analysed the traditional automatic parallelization technology , including dependency analysis theory , program transformation technology , parallel scheme and the optimization of related synchronization and communication etc , which are the theoretical basis of the whole article . cfd computing features , especially the features of explicit difference computing , have also been further ananlysed . we also summarized drawbacks of traditional automatic parallelization technology used in cfd : small parallel granularity , difficulty in attaining global identical data partition , and difficulty in attaining high parallel efficiency on distributed memory system
本文讨论、分析、总结了通用的自动并行化技术：相关性分析理论、程序变换技术、并行模式以及同步通信与优化问题等等，它们是本文研究工作的理论基础；针对研究对象，深入分析了cfd计算的特点，特别是显式差分计算的特点；并归纳出传统的自动并行化技术在cfd应用中存在的问题：并行粒度小、难以获得全局统一的数据划分方式，对于分布存储结构的并行机难以获得高效率。 - Considering that wavelet - based image segmentation has very high computational complexity , especially for large images , in order to speed up the process of the large images segmentation , this paper put emphasis on exploring the computational parallelism in wavelet - based image segmentation . the parallelism of the mpi are in - depth analyzed , data parition of the large image also are designed for reducing the data transmission , and parallel wavelet transform algorithms are designed . this paper implement a parallel wavelet - based image segmentation using mpi on cluster machines with the better segmentation rate
为了解决分割的快速性问题，本文把另外一个重点放在应用mpi并行处理技术对基于小波的纹理图像分割进行并行化处理上，研究了mpi并行编程机制，分析了应用其进行并行图像分割的可行性。进而主要以减少并行处理里中的通信量为目的，分别对并行系统框架设计，图像数据划分，小波变换算法并行优化设计进行了研究。 - Application component layer envelops the parallel algorithms of matrix - vector operation to offer users high - level interfaces ; the other three layers implement data abstraction 、 data partition and parallel mechanism respectively , and every layer has specific class and interface definition
其中应用组件层把矩阵向量运算的并行算法封装成类组件,为用户提供了高层次的接口;另外三层分别实现数据抽象、数据划分和并行机制支持三方面功能,每一层都有具体的类组件和明确的接口定义。 - For this , this paper proposes a method that category tree is used for organising commodity information in the network . using category tree , the commodity information in the whole system are divided into different namespace , which is convenient to organize and manage merchandise information , that is community
基于这个原因,本文提出了一种方法,在电子商务平台中利用分类树建立索引,来组织商品信息,对商品信息的管理加入名字空间的概念,将海量的数据划分成有意义的、可管理的空间,也就是社区。