聚類準則 的英文怎麼說

中文拼音 [jùlèizhǔnzé]
聚類準則 英文
clustering criteria
  • 聚 : 動詞（聚集; 聚積） assemble; gather; get together
  • 類 : Ⅰ名1 （許多相似或相同的事物的綜合; 種類） class; category; kind; type 2 （姓氏） a surname Ⅱ動詞...
  • 準 : Ⅰ名詞1 （標準） standard; guideline; criterion; norm 2 （目標） aim; target Ⅱ動詞1 （依據; 依照）...
  • 則 : Ⅰ名詞1 （規范） standard; norm; criterion 2 （規則） regulation; rule; law 3 （姓氏） a surname Ⅱ...
  • 準則 : norm; standard; criterion; rule; formula; square
  1. In accordance with the problem that the fcm algorithm is quite time - consuming for search out cluster cancroids and may not be suitable for on - line modeling and control. this dissertation proposed an improved fuzzy identification method based multistage random sampling fuzzy c - means clustering algorithm ( mrfcm ). it has higher approximate precision and the cpu time has slowed down sharply compared with the common fuzzy

    Johnyen和liangwang介紹了幾種應用於模糊模型的信息優化準則，本論文在此基礎上對統計信息準則進行一些改進，並與快速模糊聚類和正交最小二乘方法結合，提高了模型的辨識精度和泛化能力。
  2. And then, some common methods of gdm, such as the ahp method, the weighted geometric mean method ( wgmm ), the borda - kendall method, the minimum variance ( mv ) method, the clustering analytic method, the cook - seiford distance measure, cb measure, the maximum and the minimum expected values, the concordance and discordance indices, etc., are used to discuss some consensus problems of gdm, including the consistency of the complex judgment matrix in ahp, the consensus methods of the aggregation of individual preferences ; the aggregation of analytic hierarchy process methods based on similarities in decision makers " preferences, a consensus measure on multiple criteria group decision making

    接著本文採用了群體決策中常用的一些方法（如： ahp法，加權幾何平均法， borda - kendall方法，最小方差法，聚類分析法， cook - seiford距離測度法， c _ b測度法，最大最小期望值法，一致性非一致性指標法等）對群體決策中的幾個一致性問題進行了研究，這些問題包括： ahp中復合判斷矩陣的一致性，個體偏好序集結的一致化方法，基於決策者偏好相似性的層次分析模型的集結中的一致性問題和多準則群體決策的一致性測度。
  3. A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand. deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time, the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm. moreover, by introducing memory function and vaccine inoculation mechanism of immune system, at the same time, deca can converge to the optimal solution rapidly and stably. the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models. the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples, and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes

    針對模糊聚類演算法不適應復雜環境的問題，提出了一種新的動態進化聚類演算法，克服了傳統模糊聚類建模演算法須事先確定規則數的缺陷.通過改進的遺傳策略來優化染色體長度，實現對聚類個數進行全局尋優;利用fcm演算法加快聚類中心參數的收斂;並引入免疫系統的記憶功能和疫苗接種機理，使演算法能快速穩定地收斂到最優解.利用這種高效的動態聚類演算法辨識模糊模型，可同時得到合適的模糊規則數和準確的前提參數，將其應用於控制過程可獲得高精度的非線性模糊模型
  4. In this paper, we compared 15 3d colorspaces and 15 2d chrominance planes widely used in skin - tone detection in terms of compactness of skin class, discriminability between skin and non - skin classes as well as the classification performance of several detectors based on a data set of 1894 images

    摘要在綜述現存膚色檢測演算法所使用不同顏色空間的基礎上，基於一個含有1894張圖像的樣本庫，採用膚色內聚性和膚色非膚色類可分離性指標以及相應的分類器性能評估準則，考查了包含所有常用顏色空間的15個3維顏色空間和15個2維色度平面，建立了一個完善的膚色空間評價體系。
  5. In connection with the difference and distribution characteristic of the samples in sample space rs based on dga, a new self - adapted weight fuzzy omean clustering model of fault diagnosis of the power transformer based on the potential function is proposed. meanwhile, from the aspect of geometry characteristic of fc - divided in s dimension sample space, a method is proposed for the purpose of getting an effective adjacent radius, adaptive cluster number c and original cluster center of x sample set. for the diagnosis sample x, the property measure and diagnosis rule are proposed, which under the condition of potential density function that determine c number of optimal fuzzy cluster p1

    根據以變壓器dga數據為特徵量的樣本空間各樣本差異特性以及樣本在空間r ~ s的分佈特性，首次提出了基於勢函數自適應加權的變壓器絕緣故障診斷的模糊c -均值聚類模型；同時，從s維樣本空間的f ~ c -劃分幾何特性出發，提出了一種求取樣本集的類勢有效鄰域半徑和自適應求取聚類數和聚類中心初值的方法；對一個待診斷樣本，設計了基於類勢密度函數意義下的屬性測度和診斷準則。
  6. After that, the thesis proposes a algorithm to seek the degree of the texture of a digital image. 3rd. it gives a new model for data clustering, " village - town " model and a clustering globally best algorithm based on genetic method

    以待聚類數據集為對象從尋求全局最優配置入手，首次提出了基於遺傳演算法的聚類變精度搜索方案和基於點分佈密度的類合併準則。
  7. Better segmentation effect can be attained by coding gray levels of pixels as eigenvector, taking advantage of histogram entropy principles function as fitness function, adopting ranking selection operation, making use of arithmetic crossover and mutation at a certain probability, combining with clustering analysis to initialize clustering center of the population to segment cells image with genetic algorithm

    以像素的灰度值為特徵向量進行編碼，利用直方圖熵法準則函數作為適應度函數，採用基於排名的選擇操作，以一定的概率進行算術交叉和變異，並結合聚類分析設定種群的聚類中心對細胞圖像進行遺傳聚類分割。
  8. As for repeated optimization method, the most important things are the chose of right clustering rules and the similarity measurement between clusters

    就迭代最優化方法而言，最重要的是選取適當的聚類準則和類間相似性度量。
  9. " polymerize life energy ; cherish being health " is the eternal management idea in the enterprise. " gain trust by credit standing ; get benefit by efficiency " is our managing rule. " extract & careful ; new & fact " is the timeless working topic for the starry people

    「聚合生命能量，呵護人類健康」是我們永恆的經營理念； 「以信譽贏得信賴，以效率創造效益」是我們的管理準則； 「求精求細，求新求實」是我們司太立人的企業精神。
  10. Clustering analysis is one of most heated research topic of the day. data clustering, a unsupervised classifying method, is the process of grouping together similar multi - dimensional data vectors into a number of clusters or bins

    聚類就是把一個沒有類別標記的樣本集按某種準則劃分成若干類，使類內樣本的相似性盡可能大，而類間樣本相似性盡量小，是一種無監督的分類方法。
  11. 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。
  12. This paper takes the following rule function into account : which includes the classical wgss

    本文考慮如下聚類準則函數：武漢科技大學碩士論文。
  13. The selection of clustering radius is studied and the rationality of parameter is validated. the notion of right - clustering - probability is put forward and is used to evaluate the clustering quality of some clustering rule

    研究了聚類半徑的選取並通過模擬驗證了參數的合理性；提出了正確聚類概率這個概念，用以評價某種聚類準則下的聚類質量。
  14. 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，人們已經做了很多有意義的工作，所以本文將在前人的基礎上選擇一個恰當的聚類準則函數，以便在無任何假設條件的前提下比較簡單地直接確定聚類數。
  15. 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

    傳統的基於聚類準則的聚類演算法本質上是一種局部搜索演算法，它們採用了一種迭代的爬山技術來尋找最優解，存在著對初始化敏感和容易陷入局部極小的致命缺點。
  16. 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

    從聚類準則、聚類的表示、演算法框架等不同角度來考察並區分這些演算法，然後從混合聚類方法、增量聚類、自動化和可視化等技術方面對現有演算法加以比較分析評價。
  17. Aimed at strengths and weakness of mssse, the life - cycle of sa model, operational framework, sa partner selection model, sa organization choice model and are systematically designed. firstly, sa partner selection model utilizes a three - stage structure, resorts to relationship theory, fuzzy clustering, simple target evaluation and adaptive genetic algorithm and chooses ideal partners. secondly, sa organization choice model presents three kinds of basic organization pattern of msssesa and mapping relationship between sa type and organization pattern

    針對中小軟體企業的優勢與劣勢，設計了中小軟體企業戰略聯盟生命周期模型及基於模型的戰略聯盟運作框架，系統設計了聯盟夥伴選擇模型、聯盟組織選擇模型、績效評估模型：夥伴選擇模型：在明確中小軟體企業戰略聯盟目標分解原則與聯盟夥伴遴選準則的前提下，選用三階段法，運用關系理論、模糊聚類、單目標評價、自適應遺傳綜合優化來完成對理想聯盟夥伴的選擇；聯盟組織選擇模型：提出了適合中小軟體企業戰略聯盟的三種組織模式及與聯盟類型之間的映射關系；績效評估模型：運用模糊綜合評判的思想對聯盟績效進行模糊評估。
  18. First, we analysis the general theoretical model of video segmentation. secondly, based on the model, an automatic detection algorithm of motion - changed regions is proposed from the point of fuzzy entropy clustering. motion - changed regions are detected, using a fuzzy clustering rule to distinguish between the relative noisy and motion - changed regions in time - differenced image

    論文首先討論了時差分視頻分割的一般理論模型，然後在建立的視頻分割模型的基礎上，從模糊熵聚類的角度出發提出了一種視頻運動變化區域自動檢測的方法，通過建立的模糊分類準則在差分圖像中對運動變化區域和相對噪聲區域進行劃分，從而得到運動變化區域。
  19. Plenty of diagnosis examples demonstrate the validity of the gray relationship analysis method in diagnosing power system insulation faults. not only the misjudgment rate can be reduced, but also the transformer fault incidences can be classified by using self - adapted weight fuzzy clustering method. further more, the transformer insulation condition can be analyzed, as well as the fault position can be located by recognizing the fault types

    經過大量的診斷實例表明：本文的模糊綜合診斷與模糊規則推理結合起來的故障診斷方法對電力研究變壓器絕緣故障診斷是有效的，能大大減少錯判、誤判比率；自適應加權模糊聚類方法能對變壓器的故障樣本正確分類，同時能有效判別故障類型，診斷的準確性大大高於常用的三比值法。
  20. In chapter 6, the method of icon semantics association is proposed based on chinese term clustering. the criterion for choosing primitive of icons is studied. the semantics mapping from icon to chinese term is proposed

    第六章，研究了圖形符號基元選取的準則，提出了從圖形符號到漢語詞語的語義映射方法，提出了基於模糊認知圖的漢語詞語聚類方法，最後提出了利用漢語詞語聚類來實現圖形符號聯想的方法。
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