clustering

英 [ˈklʌstərɪŋ]

美 [ˈklʌstərɪŋ]

v.  群聚; 聚集
cluster的现在分词

现在分词：clustering　复数：clusterings　

计算机

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.
  1. ...clusters of men in formal clothes...
     一群群身着正装的男人
  2. 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。
• 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
  1. a bunch of trees
  2. a cluster of admirers
  Synonym:bunchclumpcluster

双语例句

• Improve availability with clustering and dynamic hardware partitioning capabilities.
  提高可用性与聚类和动态硬件分区能力。
• 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。
• Research and Application of Clustering Algorithm in Image Indexing
  聚类算法在图像索引中的应用与研究
• A quantum self-organization feature mapping networks model and its clustering algorithm are presented.
  提出一种量子自组织特征映射网络模型及聚类算法。
• Based on the hierarchical clustering framework, an effective algorithm CSP is developed to mine compressed sequential patterns.
  基于层次聚类框架，设计了一种有效的挖掘压缩序列模式的算法CSP。
• 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。
• 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。
• 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。
• Another feature that JBoss has had for at least a couple of years is the clustering and failover feature.
  JBoss已经具备了至少两年的另一个功能是群集和故障转移。
• Common approaches to unsupervised learning include k-Means, hierarchical clustering, and self-organizing maps.
  无监管学习的常见方法包括k-Means、分层集群和自组织地图。