cluster data
英 [ˈklʌstə(r) ˈdeɪtə]
美 [ˈklʌstər ˈdeɪtə]
分类数据
双语例句
- Use the IDCAMS utility to create a VSAM KSDS cluster, data, and index datasets.
使用IDCAMS实用工具创建一个VSAMKSDS集群、数据和索引数据集。 - Therefore, hosting the repositories on dedicated queue managers results in a topology where application data and cluster data never traverse the same channels.
因此，在专用的队列管理器上驻留储存库导致这样一个拓扑结构，其中应用程序数据和集群数据从不经过相同的管道。 - The cluster repository disk is used as the central repository for all the cluster configuration data.
集群存储库磁盘用作所有集群配置数据的中央存储库。 - Use APPEND ON when possible: To increase the efficiency of insert processing, if there is no need to physically cluster data in a table, use APPEND ON in the table definition.
尽可能使用APPENDON：要提高插入处理的效率，如果不需要物理集中表数据，那么在表定义中使用APPENDON。 - Applied Research on the Grey Cluster Data Mining Algorithm Used in Quality Synthetic Evaluation for Shandong Yellow River Communication Archives Information Resource
灰色聚类挖掘算法在山东黄河通信档案信息资源利用综合评价中的应用研究 - Study on Classic Client Cluster Data Mining Based on Genetic Algorithm
基于遗传算法的最优客户群挖掘研究 - The algorithm presents a clear and precise membership function for every cluster after data preprocessing by traditional grid partition.
在定义隶属度函数前先做网格划分，形成数据簇的基本形状，并提供真实的参数信息参与此后的隶属度函数定义。 - What happens to cluster data when the cluster is shut down?
当集群关闭之后，集群中的数据会怎么办？ - The basic principle is to find out the close and distant relation between data samples quantitatively by math method with certain Similar or difference index based on their attributes, then cluster the data samples with this kind of relation.
其基本原理是根据样本的属性，用数学方法按照某些相似性或差异性指标，定量的确定样本之间的亲疏关系，并按这种亲疏关系程度对样本进行聚类。 - A method combining spatial cluster with data statistical analysis was employed to optimize a land subsidence monitoring network consisted of 86 monitoring points at Tanggu in Tianjin. So the optimized network met with the goal of both maximizing spatial accuracy and minimizing temporal redundancy.
以天津市塘沽区为研究区域，利用空间聚类与数据序列特征分析相结合的方法，对原有86个监测点的地面沉降监测网络进行优化，使优化兼顾了空间均匀分布和最小化时间冗余。 - Microsoft's Analysis Service builds data from Data Warehouse to Multi-dimension data with pretreatment cluster data, so it cans provider efficient response of complex query.
微软的分析服务借助预先计算的聚合数据将来自数据仓库的数据组成为多维数据集，从而为复杂的分析查询提供快速应达。 - In the paper, the fuzzy likelihood function is utilized to cluster sample data.
提出一种基于模糊似然函数的模糊辨识方法。 - Partition-based method is a practical cluster way to cluster data set, but the efficiency of this method is strongly depend on the pre-known knowledge, especially it is necessary for this method to give the clusters 'number in advance.
基于划分的方法使聚类分析中较为主要的方法之一，但是山于它对于先验知识的依赖较强，尤其是需要预先指定聚类分析的类别数目，给该方法的应用带来了障碍。 - Research and Implement in Cluster Data Communication Mechanism Based on Software/ Hardware Codesign
基于软硬件协同的机群数据通信机制的研究与实现 - For improving its low success possibility and long training time, this paper makes use of self-organizing map neural network to cluster data and then classifies these data by learning vector quantization.
考虑到目前很多方法存在成功率低以及训练时间长的缺点，本文利用自组织映射神经网络对数据聚类，然后通过学习矢量量化对已聚类的数据再进行分类。 - Research on Dispatcher's Supervision System Based Network Cluster and Data Base
基于网络群集和数据库的调度监督系统的研究 - A Study of Variable Cluster to Data Mining
数据挖掘中变量聚类方法的应用研究 - For the system data, focusing on the method of manage the cluster configuration data and log data management, then the distributed information log structure of OGSA proposed to manage the distribution log in JMS.
对系统数据，重点研究了集群配置数据和日志数据的管理方法，提出使用OGSA的分布式消息结构来管理JMS中的分布式日志。 - Exploratory data analysis is a copious kind of method to investigate in detail a cluster of data.
探索性数据分析提供了丰富多采的详细考究一组数据方法。 - Use of convective cloud cluster data in the numerical prediction model for local heavy rainfall
对流云团资料在局地暴雨数值模拟预报中的应用 - Meanwhile optimization theory based HCM clustering algorithm is used to cluster sample data to determine the number of node of hidden layer, so that the efficiency of RBF network in use is high.
同时采用基于优化原理的HCM算法实现聚类过程，来确定RBF网络的隐含层节点数，使网络的利用效率较高。 - It is hard to cluster high-dimensional data using traditional clustering algorithm because of the sparsity of data.
在高维空间中，由于数据的稀疏性，传统的聚类方法难以有效地聚类高维数据。 - Spectral clustering is a novel clustering method which based on the spectral graph theory. Spectral clustering has main advantages of easy implementation and can be used to cluster data with arbitrary shape.
在聚类分析的众多算法中，谱聚类是基于谱图理论的一类新的聚类方法，具有能够对任意形状的数据进行划分、易于执行等优点。 - After analyzing the traditional clustering algorithms, the paper presents a new clustering ensemble method based on K-means to cluster data.
本文在分析传统聚类算法的基础上，提出了一种聚类融合算法。 - Our study is base on the problem mentioned above, analyzing and summarizing the existing methods and proposing the following method to cluster trajectory data of moving objects: Firstly, we propose a representation method of trajectory of moving objects based on road network space.
本文正是基于以上提出的问题，对现有方法进行分析和总结，提出了以下方法对移动对象轨迹数据进行聚类：首先，提出了一种基于道路网络空间的移动对象轨迹的表示方法。 - At a single ordinary PC, the two algorithms can cluster data sets with a million instances in just a few minutes of time.
本文提出的算法能在单台普通的PC机上处理上百级实例的数据集只需要花几分钟的计算时间。 - At last, we did some experiments based on both synthetic datasets and real datasets on the TD-Stream algorithm proposed in this paper, and the experiments results show that the algorithm is accuracy and high efficiency and can cluster data stream efficiently.
最后，分别采用仿真数据集和真实数据集对算法进行了实验验证，实验结果表明，算法具有较好的准确性和高效性，能对数据流进行高速有效的聚类分析。 - The aim of this paper is to improve the CURD algorithm to enable it to cluster the data which have nominal attributes, to make it useful in mining the software source code.
本文对CURD算法进行改进，使其能够聚类具有离散属性的数据，并将其应用于源代码挖掘。 - K-means algorithm is a traditional partition clustering method. It is widely used in the area of Data Mining to cluster large data sets due to its high efficiency.
K-means算法是一种传统的基于划分的聚类算法，其对大规模数据进行聚类时效率较高，从而被广泛应用在数据挖掘领域。