聚類集 的英文怎麼說

中文拼音 [jùlèijí]
聚類集 英文
cluster set
  • 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...
  • 集 : gatherassemblecollect
  1. 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。
  2. As concerned as multiple elements relativity, the concept of variable group and variable group formicate are put forward. of course, the paper gives the fuzzy cluster arithmetic principle, process and clustering chart

    在此過程中介紹了利用模糊聚類的有關演算法原理和計算步驟，並給出了模糊聚類分析圖，以及變量組和變量組集的概念。
  3. Because of the huge quantity and high complexity of the original data set, data mining needs more and more time and memory to deal with these data sets. it is not accuracy in limited resource. based on the clustering algorithms analysis, this paper selects a cluster algorithm with low complexity to deal with huge quantity dataset

    由於數據集中數據的增大和數據復雜性的提高，數據挖掘演算法無論是從演算法運算的時間上，還是從演算法本身所需要的存儲空間上都急劇的膨脹，使得在現有資源下很難實現數據集的最終聚類。
  4. In the third part, it works over the functions of the cities in shantou economy region, in both determining the nature and rational. the former in major relate the objection in state of cities in shantou using both the dual - nucleus structure and the central theory ; the latter elicits the differentiate in cities functions in shantou region using divide the work inside one tract, through fix quantify stat of clustering analysis

    論文從定性和定量兩個方面進行討論：定性部分主要用雙核結構理論和中心地理論論述汕頭經濟區城市職能配置的主要缺陷；定量部分採用勞動地域分工理論進行定量統計，聚類分析，得出汕頭經濟區職能（產業集群）的地區分異。
  5. It has been improved, and specially proposed : firstly, we has increased run speed and ensure the diversity of population is with constructing non - dominated set by throwing off the dominated solutions, expressing the interior relation of individuals each other by the crowding distance, and constructing new population. secondly, we have further improved its convergence performance by clustering in precondition of ensuring a better distribution of individuals

    該文以nsga -為基準，對演算法進行了改進，具體提出了：用排除法構造非支配集、用聚集距離刻畫個體間的內部關系以及構造新群體，來提高運行速度和保持群體的多樣性；用聚類演算法在保持原有特性的前提下，進一步改善收斂性能等。
  6. During the applied procession, the writer exerts factor ( principal components ) analysis and cluster analysis to dissect the economic benefit of the agricultural production simply and indirectly, and thereby avoids the difficulties of collecting the related data and inaccurate consequence even though with the essential data

    在運用的過程中，筆者獨創性的運用因子（主成分）分析和聚類分析的方法簡便、間接的分析出農產品的經濟效益的好壞，從而解決了經濟效益指標難于收集且收集得到的數值真實性和準確性不佳的難題。
  7. So we proposed a new definition for fuzzy partition and proved the new definition of fuzzy partition has a desired property consistent with our intuition and applications of fuzzy partition e. g.,

    而且根據此定義，可以定義模糊集合的相對清晰度及模糊劃分的平均清晰度。實驗證明，模糊劃分的平均清晰度可以衡量fcm演算法的聚類效果。
  8. In this text, we first do some research on the genetic algorithm about clustering, discuss about the way of coding and the construction of fitness function, analyze the influence that different genetic manipulation do to the effect of cluster algorithm. then analyze and research on the way that select the initial value in the k - means algorithm, we propose a mix clustering algorithm to improve the k - means algorithm by using genetic algorithm. first we use k - learning genetic algorithm to identify the number of the clusters, then use the clustering result of the genetic clustering algorithm as the initial cluster center of k - means clustering. these two steps are finished based on small database which equably sampling from the whole database, now we have known the number of the clusters and initial cluster center, finally we use k - means algorithm to finish the clustering on the whole database. because genetic algorithm search for the best solution by simulating the process of evolution, the most distinct trait of the algorithm is connotative parallelism and the ability to take advantage of the global information, so the algorithm take on strong steadiness, avoid getting into the local

    本文首先對聚類分析的遺傳演算法進行了研究，討論了聚類問題的編碼方式和適應度函數的構造方案與計算方法，分析了不同遺傳操作對聚類演算法的性能和聚類效果的影響意義。然後對k - means演算法中初值的選取方法進行了分析和研究，提出了一種基於遺傳演算法的k - means聚類改進（混合聚類演算法） ，在基於均勻采樣的小樣本集上用k值學習遺傳演算法確定聚類數k ，用遺傳聚類演算法的聚類結果作為k - means聚類的初始聚類中心，最後在已知初始聚類數和初始聚類中心的情況下用k - means演算法對完整數據集進行聚類。由於遺傳演算法是一種通過模擬自然進化過程搜索最優解的方法，其顯著特點是隱含并行性和對全局信息的有效利用的能力，所以新的改進演算法具有較強的穩健性，可避免陷入局部最優，大大提高聚類效果。
  9. Facing the information age, the marine environmental information systems should also absorb the article intelligence technology and virtual reality technology to serve as a decision - making support system and export system for the ocean environment study and development. thirdly, based on maplnfo ( gis software ) platform and development languages ( vb and mapbasic ), marine environment information system in luoyuan bay was designed and development, then relied on gps and rs, ocean environment information in luoyuan bay was collected and managed effetely, its aim is to provide a reasonable opinion for decision - maker on how to utilize resources and protect environment in luoyuan bay. lastly, marine environmental quality of aquafanns in luoyuan bay was assessed relied on marine environmental information system and mathematics model ( fuzzy cluster ), and corresponding countermeasures were presented to protect ocean environment in

    本文首先通過對海洋環境信息系統的特點和國內外研究現狀的分析，探討了網路時代海洋環境信息系統的發展趨勢；接著以mapinfo （ gis軟體）為開發平臺，以vb和mapbasic為開發語言，面向管理和決策層，進行羅源灣海洋環境信息系統的設計與開發，並結合遙感（ rs ）和全球定位系統（ gps ）建立模型庫，收集和管理羅源灣海洋環境信息，旨在為羅源灣的海洋建設項目的立項、選址、規劃和海洋污染事故的應急提供決策支持，從而有效地保護羅源灣海洋生態環境；最後運用羅源灣海洋環境信息系統並結合數學模型（模糊聚類）對羅源灣養殖區水環境現狀進行評價，從而使得羅源灣各海水養殖區的水質現狀評價變得生動、形象和直觀，並針對羅源灣海洋污染源狀況和污染現狀，提出了保護羅源灣海洋生態環境相應的對策。
  10. The thesis, first of all, makes the qualitative and quantitative analyses about the present state of the international container transportation of yangtzi river. then expansible - accumulation model is used to predict port handling capacity of containers the proof of and finally tee optimization of shipping system is obtained

    首先對長江干線國際集裝箱運輸現狀進行定性和定量的分析，利用可拓聚類預測模型對集裝箱的生成進行預測，然後對船舶運輸系統和港口泊位進行優化論證。
  11. Systematic cluster analysis was carried out on hu sheep in china in comparison with the same data of 9 asia sheep populations and 5 european sheep ( breeds in japan ) populations. 15 populations can be clustered in terms of gene frequency of 10 loci and 33 allele in blood enzyme and other protein variations

    摘要以中國湖羊為研究對象，搜集國內外9個亞洲綿羊群體和5個在日本的歐洲綿羊群體的相同資料作為對照，根據控制血液酶和其他蛋白質變異的10個基因座位共計33個等位基因的頻率，進行系統聚類分析。
  12. Application of hierarchical cluster analysis in raising outlay of science research

    聚類分析在我國科研經費籌集中的應用
  13. 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。
  14. Methods : we collected the data of 380 gastritis ( weiwantong ) patients include symptoms, tongues and pulses, then used variables cluster analysis to analyse it

    方法：收集380例胃炎（胃脘痛）病例，記錄癥狀、舌象和脈象等臨床資料，對臨床資料進行變量聚類分析。
  15. Examples of clustering iris data and alerts in intrusion detection also proved the good performance of the ksom method

    對iris數據集和入侵檢測報警數據的聚類也證明了核自組織映射聚類方法的良好性能。
  16. 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。
  17. The basic thought is to divide the cities which are close to each other into a group ( physical area ) by applying sorting neural network, find out the optimal path by the improved hnn, and then calculate the local optimal path by using the same method, and finally get the whole optimal path, which are described as following : a assembly s of cities is grouped into some subsets according to their physical location and we can get, and then get the optimal, path of tsp of s = { s, i = 1, 2, n } through the given method, as well as the st

    基本思想是利用聚類神經網路先把地理位置上相互靠近的城市劃分為一個集體單位（一個物理區域） ，用改進的hopfield神經網路演算法求解各個區域間的最優（或近似最優）路徑，然後再在每一個區域內部用同樣的方法來求解其局部的最優（或近似最優）路徑，這樣可以最終得到全局的最優（或近似最優）解。描述如下：設有城市集合s ，按城市的地理位置把s劃分為若干子摘要2集，得s ijs ， ，其中廠s ； d ， i一口求得集合i叫s s ； i習， 2 ， … n的tsp最優路徑，再依次求得子集s ；內部的tsp最優路徑，即得最終優化路徑m一） s一） …一寧s ； di
  18. 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。
  19. This thesis presented a modified genetic operators in clustering analysis, and firstly introduced good point set - based clustering algorithm - gameans, which characterized by inferior sensitivity to initial, robustness, and removable premature, and also firstly presented a hybrid method with ga and gameans. experiment show that the hybrid method with general performances can find better clustering results

    文中討論了聚類分析的遺傳操作改進方法，首次提出了基於佳點集ga的聚類演算法gameans ，降低了傳統聚類演算法對初始化的要求，具有收斂快、較強的穩健性和可避免早熟的特點。
  20. A shot boundary detection method for news video based on rough sets and fuzzy clustering

    基於粗糙集和模糊聚類的新聞視頻鏡頭邊界檢測方法
分享友人
分享到 Line

分享到臉書