hierarchical clustering 中文意思是什麼
hierarchical clustering
解釋
分級群聚, 分層群聚- 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
-
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。 -
The kernel of the software consists of 4 clustering algorithms including pair - wise average linkage analysis, hierarchical clustering, self - organization feature mapping, and fuzzy clustering which is first applied in the field
該軟體包含了兩兩平均連鎖聚類法、系統聚類法、自組織特徵映射法和模糊聚類等聚類演算法，其中模糊聚類演算法是首次用於基因表達模式分析。 -
Based on the two fertility indices, organic matter and total nitrogen, 73 typical soil samples collected from calcareous cultivated soils with different yield levels in 10 counties of henan province were divided into three categories in fertility by hierarchical clustering analysis
本文在河南省十個縣市不同產量水平的石灰性耕作土壤上採集了73個典型樣品，並根據土壤有機質和全氮量這兩個肥力指標，用系統聚類的方法將供試土壤劃分為高、中、低三種肥力類型。 -
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。 -
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。 -
A hierarchical clustering algorithm and cooperation analysis for wireless sensor networks
無線傳感器網路中一種層次分簇演算法及協作性分析 -
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。 -
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。 -
Hierarchical clustering method
系統聚類法 -
After shot cutting and clustering, the thesis studies the approaches of detecting shots which contains the anchorperson and the methods of news story detection. based on these, a meaningful story and the hierarchical structure of the video content can be produced
本文在有效進行視頻鏡頭切分和聚類的基礎上，研究歸納了播音員鏡頭探測和新聞故事單元探測的一般方法，生成有意義的視頻故事，同時形成了樹形的視頻內容層次化結構。 -
It learns from the basic thought of hierarchical clustering methods ( hcm ), which groups objects by comparing the sizes of distance or similar coefficients between objects, meanwhile, combines with the optimal split - plot designs ( ospd ) in ordered samples, and synthesizes the intuitive property of hcm and the character of simplicity and the ability in finding out the accurate solution of ospd. with history data, this paper assumes that data from the same group come from the same distribution, and so do the history data
本文汲取了系統聚類法中通過定義距離或相似系數並以其大小將對象進行分類的基本思想，將之與有序樣本情況下的最優分割法相結合，吸收了系統聚類法的直觀性和最優分割法的簡捷性及可以求出精確最優解的良好性質，在存在歷史數據的條件下，假設同類數據來自於同一分佈，歷史數據相應的來自該分佈。 -
At first, the data surface is partitioned into small blocks, and points in each block are reorganized into error - controlled lods by hierarchical clustering and lod organization
首先對輸入模型進行分塊處理，獲取的每一分塊分別建立誤差控制下的多解析度數據結構。 -
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。 -
To solve the problems of adaptive determinition of the cluster number, flexible objective function definition and approximate optimal computation in clustering analysis, a ga - based divisive hierarchical clustering algorithm ( gadhc ) was proposed, which integrated some features of divisive hierarchical clustering algorithm and binary genetic clustering algorithm
摘要針對聚類中自適應確定聚類個數、目標函數靈活定義及優化的近似計算等問題，綜合了分裂式層次化聚類演算法能根據相似度閾值自適應地確定聚類個數的特點及二進制遺傳聚類演算法具有較強的搜索近似最優解能力及目標函數定義靈活的特點，提出了一種基於遺傳演算法的分裂式層次化聚類方法。 -
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。 -
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。
分享友人