Informix also remains ahead in areas such as clustering, data replication and grid-based computing.
Informix还在集群化、数据复制和基于网格的计算方面领先一步。
Part 1 of this series, clustering fundamentals, discusses the types of clusters, USES of clusters, HPC fundamentals, and reasons for the growth of clustering technology in High Performance Computing.
本系列的第1篇集群基础讨论了集群的类型、用途、HPC基础以及集群技术在HPC领域变得更加流行的原因。
Computing method of weighted value for feature item based on text representation can determine extraction of text feature, which have influence on accuracy of the text clustering.
文本表示中特征项的权值计算方法决定了文本特征的提取，在很大程度上影响了文本聚类的准确率。
Through the adjacency matrix, computing networks, clustering coefficient. Clustering coefficient is a complex network, an important parameter.
通过邻接矩阵，计算网络的聚类系数。聚类系数是复杂网络中一个重要参量。
The cluster distance computing method is the key issue affecting the performance of hierarchical clustering algorithm.
在聚类的过程中簇间距离计算的准确性是影响算法性能的重要因素。
This is a scientific computing library with support for multidimensional arrays and linear algebra, required for certain probability, tagging, clustering, and classification tasks.
这是一个科学计算库，支持多维数组和线性代数数，在某些计算概率、标记、聚类和分类任务中用到。
Then, the processes of computing the vector values of POI objects are discussed by the methods of questionnaire survey, multi-density spatial clustering and data normalization respectively.
然后，分别讨论了利用问卷调查、多密度空间聚类和数据规格化的方法计算POI对象的各项显著性指标值的过程；
Our two improved spectral clustering algorithms use the limited computing resources (e. g. : memory, CPU) to maximize the accuracy of spectral clustering.
本文提出的两个算法能够在有限的计算资源(例如：CPU和内存)的条件下最大化谱聚类的聚类精确度。
Our two improved spectral clustering algorithms use the limited computing resources (e. g. : memory, CPU) to maximize the accuracy of spectral clustering.
本文提出的两个算法能够在有限的计算资源(例如：CPU和内存)的条件下最大化谱聚类的聚类精确度。
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