聚类准则的英文

• clustering criteria

• "聚"英文翻译    assemble; gather; get togeth ...
• "准则"英文翻译    norm; standard; criterion; r ...
• "聚类" 英文翻译 :    clustering
• "各类准心" 英文翻译 :    gash
• "类准无窗贝属" 英文翻译 :    athyrisinoides
• "准则" 英文翻译 :    norm; standard; criterion; rule; formula; square 党内政治生活的准则 the guiding principles for inner-party political life; 外交准则 diplomatic norms; 行为准则 code of conduct; 国际法的起码准则 elementary requirements of international law; 国际关系基本准则 basic norms of international relations; basic norms guiding international relations; 热力学准则 thermodynamic criterion
• "聚类，集群" 英文翻译 :    cluster
• "聚类法" 英文翻译 :    clustering procedure
• "聚类集" 英文翻译 :    cluster set
• "动态聚类" 英文翻译 :    dynamic clustering
• "分类聚类" 英文翻译 :    taxonomic clustering
• "检索词聚类" 英文翻译 :    term clustering
• "聚类（分组）测试" 英文翻译 :    cluster testing
• "聚类变量" 英文翻译 :    cluster variables
• "聚类测试" 英文翻译 :    cluster testing
• "聚类抽样" 英文翻译 :    cluster sampling
• "聚类分离" 英文翻译 :    split cluster
• "聚类分析" 英文翻译 :    cluster analysis; clusteranalysis; fuzzy grouping analysis
• "聚类观测" 英文翻译 :    cluster observations
• "聚类合并" 英文翻译 :    merging cluster
• "聚类检测" 英文翻译 :    clustering detection
• "聚类匹配" 英文翻译 :    cluster matching
• "聚类搜索" 英文翻译 :    cluster seeking
• "聚类算法" 英文翻译 :    clustering algorithm
• "聚类网络" 英文翻译 :    kcn kohonen clustering network kohonen

• This paper takes the following rule function into account : which includes the classical wgss
  本文考虑如下聚类准则函数：武汉科技大学硕士论文。
• As for repeated optimization method , the most important things are the chose of right clustering rules and the similarity measurement between clusters
  就迭代最优化方法而言，最重要的是选取适当的聚类准则和类间相似性度量。
• But , in this aspect , many content work has been done , so the paper will choose a right clustering rule based on the work of them , in order to confirm cluster number directly under no assumptions
  但是，在此方面，人们已经做了很多有意义的工作，所以本文将在前人的基础上选择一个恰当的聚类准则函数，以便在无任何假设条件的前提下比较简单地直接确定聚类数。
• Conventional clustering criteria - based algorithms is a kind of local search method by using iterative mountain climbing technique to find optimization solution , which has two severe defects - sensitive to initial data and easy as can get into local minimum
  传统的基于聚类准则的聚类算法本质上是一种局部搜索算法，它们采用了一种迭代的爬山技术来寻找最优解，存在着对初始化敏感和容易陷入局部极小的致命缺点。
• Most existing clustering algorithms are classified and inter - compared from three different viewpoints , namely clustering criteria , cluster representation , and algorithm framework , and analysed and evaluated with hybrid methods , incremental algorithms , automation and visualization
  从聚类准则、聚类的表示、算法框架等不同角度来考察并区分这些算法，然后从混合聚类方法、增量聚类、自动化和可视化等技术方面对现有算法加以比较分析评价。