hierarchical clustering method 中文意思是什麼

hierarchical clustering method 解釋
系統聚類法
  • hierarchical : adj. 1. 僧侶統治（集團）的。2. 統治集團的。3. 等級（制度）的。adv. -cally
  • clustering : 叢聚
  • method : n 1 方法，方式；順序。2 （思想、言談上的）條理，規律，秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  1. The basis is hierarchical placement based on the model of directed graph partition. introducing timing - driven placement to clustering, it is an excellent method that mixes the characteristics of timing - driven placement, clustering and directed graph partition. integrated with cdp, this algorithm can solve the system - level vfg problems of electronic devices

    該演算法是基於有向圖分解模型的分級布局演算法，將定時驅動布局思想引入結群過程，是集定時驅動布局、基於結群的布局、基於劃分的布局和有向圖分解思想為一體的快速布局演算法。
  2. Through some specific experiments, we analyse and compare the characters of some discretization methods such as hierarchical clustering analysis, recursive minimal entropy method, and one - rule

    通過具體實驗，分析和比較了層次聚類法、遞歸最小熵法和one - rule等離散化方法的性能特點。
  3. 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

    基於層次方法的聚類的基本思想足：根據給定的簇間距離度量準則，構造利維護一棵由簇利子簇形成的聚類樹，直至滿足某個終結條件為止。根據層次分解是自底向上還是自頂向下形成，層次聚類方法可以分為凝聚的（ agglomerative ）和分裂的（ divisive ） 。人多數層次聚類演算法在緊密簇或球形簇結構下能夠產生較好的聚類效果。
  4. In contrast to most existing fuzzy identification methods, this method uses a hierarchical clustering architecture based on a hybrid neural network for decreasing computational cost of fuzzy identification procedures

    與現有方法不同，該模糊辨識方法採用自組織神經網路和模糊聚類網路兩部分組成的三層神經網路來實現。
  5. Different from other researches, autoore uses the proposed java semantic model as input data, and gives a tree - liked, hierarchical structured and semantic cluster set. the clustering method is based on a minimum spanning tree that represents the software system. the clustering objective function is designed according to the software modularization metric and cognition psychology theory

    抽象是autoore的核心，它首次採用對象系統的語義關系抽取數據為輸入，利用基於mst表示的、聚集目標結合了程序認知心理學理論的軟體聚集方法，得到一個具有豐富語義的、組織為樹狀的、分層的聚集集合。
  6. Hierarchical clustering method

    系統聚類法
  7. In the field of clustering, by comparing some clustering methods and analysing characteristic of science data, we propose an improved hierarchical clustering method synthetic idea of k - means method

    在聚類方面，經過比較各種聚類演算法和分析科學數據的特點，提出了結合k -平均思想的改進型系統聚類演算法。
  8. Through analyzing the characteristics of nominal data, clustering algorithm of nominal data based on entropy and hierarchical method was proposed

    摘要通過對標稱數據的分析，提出了一種基於信息熵和層次聚類思想的標稱數據聚類演算法。
  9. The hierarchical - based method is one of the clustering analysis methods to deal with big size data sets. with the limited resource, such as memory, cpu, and so on, it can get the best clustering result by use some algorithm structure

    在聚類分析方法中，基於層次的方法是處理較大數據集中較為常用的方法之一，該類方法在有限的資源（如內存、 cpu ）下，通過採用一定的演算法結構，得到盡可能好的聚類結果。
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