data clustering发音

意思翻译

资料分群，数据分组

相似词语短语

clustering overview───群集概述

clustering ensemble───聚类融合

divisive clustering───分裂聚类

clustering survey───聚类调查

clustering metric───聚类度量

clustering nodes───群集节点

data───n.（Data）（日）驮太（姓）；（印、葡）达塔（人名）；n.数据；资料

entry data───[计]入口数据

initial data───n.[计]原始数据

双语使用场景

Data clustering is an important problem in data mining.───数据聚类是数据挖掘中的一个重要课题。

way to establish a certain data clustering property in DB2 is to reorganize the table according to an index.───在DB 2中建立数据聚集属性的方法是根据一个索引对表进行重组。

Data clustering offers a solution to this problem.───数据集群为这个问题提供了一个解决方案。

A crucial step in the analysis process is to enable users to understand the results of the data clustering step.───在分析过程中，一个关键的步骤就是让用户理解数据集群步骤的结果。

Meanwhile, the research of the stream data clustering algorithm would be useful references to the similar researches.───同时，本文对流数据聚类算法的研究，对于促进同类问题的研究具有一定的理论价值和借鉴意义。

Our paper investigates two important problems of bioinformatics: gene expression data clustering analysis and structural database searching.───本文深入讨论了在生物信息学研究中的两个热点问题：基因表达数据聚类分析和结构数据库搜索。

Data mining is the core topic of this paper. Basically, it includes associate rule founding, data clustering and data assorting.───数据挖掘是本课题的研究核心，主要包括关联规则发现、数据聚类和数据分类。

Data clustering can have an especially large impact on data warehouse query performance, because rows are often retrieved in large numbers.───数据聚簇对于数据仓库查询性能的影响尤其显著，因为常常在一个查询中获取许多行。

In summary, the accuracy of statistics depends on the sampling rate, the data skew, and data clustering for data sampling.───总之，统计信息的准确性取决于抽样率、数据倾斜（dataskew）以及用于数据抽样的数据群集。

英语使用场景

This paper formulates for solving the data clustering problem as a graph partition optimal problem, and proposes a parthenogenetic algorithm based on immune mechanism.

Based on finite mixture models, we apply Bayesian method to compositional data and ordinal data clustering.

It first introduces the concept of data clustering and data classification.

Data mining is the core topic of this paper. Basically, it includes associate rule founding, data clustering and data assorting.