clustering
英 [ˈklʌstərɪŋ]
美 [ˈklʌstərɪŋ]
v. 群聚; 聚集
cluster的现在分词
现在分词：clustering 复数：clusterings
BNC.17064 / COCA.20578
柯林斯词典
- N-COUNT (人或物的)组，群，簇
Acluster ofpeople or things is a small group of them close together.- ...clusters of men in formal clothes...
一群群身着正装的男人 - There's no town here, just a cluster of shops, cabins and motels at the side of the highway.
这儿没有城镇，只在公路边上有一片商店、小木屋和汽车旅馆。
- ...clusters of men in formal clothes...
- See also:The passengers clustered together in small groups...The children clustered around me.clustered
英英释义
noun
- a grouping of a number of similar things
- a bunch of trees
- a cluster of admirers
双语例句
- Decision theory, statistical classification, maximum likelihood and Bayesian estimation, non-parametric methods, unsupervised learning and clustering.
决策理论，统计分类，最大似然和贝叶斯估计，非参数方法，非监督的学习与聚类。 - This paper analyses the clustering technology in data mining and its current research status in customer segmentation.
本文分析了数据挖掘中的聚类技术以及聚类技术在客户细分领域中的研究现状。 - For larger number of users, load balancing and server clustering techniques are unavoidable.
对于更大数量的用户，负载均衡和服务器集群技术就在所难免了。 - A pre-grasp pattern classification method based on the computer vision and the improved fuzzy C-means clustering algorithm is introduced.
提出一种基于计算机视觉的，以及改进的模糊C均值聚类算法的机器人多指手预抓取模式分类方法。 - This article discussed two data mining algorithms: the classification tree and clustering.
本文讨论了两种数据挖掘算法：分类树和群集。 - Tag clustering is an important research topic in Social Tagging System mining.
标签聚类是社会标签数据挖掘中一个非常重要的研究课题。 - A new hybrid clustering algorithm based on particle swarm optimization and FCM algorithm is proposed.
提出了一种基于模糊C均值算法和粒子群算法的混合算法。 - Distance-based and density-based clustering algorithms in Euclidean space can be used in this framework.
欧几里德空间内基于距离、基于密度的聚类算法均适用于本框架。 - Multi-dimensional clustering for tables containing XML data is another new database design option.
对包含XML数据的表进行多维聚簇是另一个新的数据库设计选项。 - In this paper, we present the cluster neighborhood classification method based on attribute clustering network-an unsupervised clustering.
本文在属性聚类网络的基础上，提出了堆近邻分类方法。