子簇的英文

• submanifold
• subvariety

• "子"英文翻译    son
• "簇"英文翻译    crowd together; form a clust ...
• "闭子簇" 英文翻译 :    closed subvariety
• "电子簇" 英文翻译 :    electron cluster
• "分子簇" 英文翻译 :    molecular clustering
• "离子簇" 英文翻译 :    ion cluster
• "拟子簇" 英文翻译 :    quasi subvariety
• "原子簇" 英文翻译 :    cluster chemistry
• "真子簇" 英文翻译 :    proper subvariety
• "阿贝耳子簇" 英文翻译 :    abelian subvariety
• "不可约子簇" 英文翻译 :    irreducible subvariety
• "电子簇, 电子┡" 英文翻译 :    electrons cluster
• "电子簇，电子┡" 英文翻译 :    electrons cluster
• "电子簇射" 英文翻译 :    electronic showering
• "分子簇集" 英文翻译 :    molecular clustering
• "基本子簇" 英文翻译 :    fundamental subvariety
• "解析子簇" 英文翻译 :    analytic subvariety
• "介子簇射" 英文翻译 :    meson shower
• "局部闭子簇" 英文翻译 :    locally closed subvariety
• "离子簇技术" 英文翻译 :    ion cluster technique
• "离子簇理论" 英文翻译 :    ion-cluster theory
• "电子光子簇射" 英文翻译 :    electron-photon shower
• "金属胶态原子簇" 英文翻译 :    atom cluster
• "均匀分布电子簇射" 英文翻译 :    uniformly distributed electron shower
• "类立方烷原子簇" 英文翻译 :    cubane-like cluster

• Photon identification in the momentum range from 0 . 5 to 100 gev by using pca method is presented and compared with the results attained by traditional shower topology method
  与传统的簇射拓扑分析相比，在同等的效率下，理a区分电磁簇射和强子簇封的能力将提高10肠
• On the other hand particle identification is provided during offline analysis by algorithms that examine the electromagnetic shower shape in phos to discriminate electromagnetic particles against hadrons
  之二，对phos中的簇射进行拓扑分析，从而区分电磁簇射和强子簇射。
• The basic idea for hierarchy - based method is that creating and maintaining a tree of clusters and sub - clusters according to some kind of criterion to measure the distance of clusters , the procedure will be sloped until some terminal conditions are satisfied . hierarchical clustering method can be further classified into agglomerative and divisive hierarchical clustering , depending on whether the hierarchical decomposition is formed in a bottom - up or top - down fashion . most hierarchical clustering methods can produce the better results when the clusters are compact or spherical in shape . but they do not perform well if the clusters are any shape or there are outliers . a main reason is that the most hierarchical clustering methods employ medoid - based measurement as distance between clusters
  基于层次方法的聚类的基本思想足：根据给定的簇间距离度量准则，构造利维护一棵由簇利子簇形成的聚类树，直至满足某个终结条件为止。根据层次分解是自底向上还是自顶向下形成，层次聚类方法可以分为凝聚的( agglomerative )和分裂的( divisive ) 。人多数层次聚类算法在紧密簇或球形簇结构下能够产生较好的聚类效果。