群聚的數據 的英文怎麼說

中文拼音 [qúnjùdeshǔjù]
群聚的數據 英文
clustered data
  • 群 : Ⅰ名詞（聚在一起的人或物） crowd; group Ⅱ量詞（用於成群的人或物） group; herd; flock
  • 聚 : 動詞（聚集; 聚積） assemble; gather; get together
  • 的 : 4次方是 The fourth power of 2 is direction
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 據 : 據Ⅰ動詞1 （占據） occupy; seize 2 （憑借; 依靠） rely on; depend on Ⅱ介詞（按照; 依據） according...
  • 群聚 : adoption societies
  • 數據 : data; record; information
  1. They are jinfo mountain in nanchuan county ( natural protection section ), wuling mountain in qianjiang county ( national emphases forest demonstration county which forest cover rate is beyond 50 % ) and zhongliang mountain in beibei county ( artificial destruction is very grave ). some main land use patterns i. e. woodland, garden, infield, abandon infield, shrub and grassplot are selected in those three sample sites. four aspects on soil fertility index of karst environment under different land use patterns in these three sample sites, are revealed in this paper, by using the field test, indoor measure and analysis, outdoor experiment and field investigation, and the knowledge and technique of soil, ecology, physics and chemistry etc. they are physical characteristic ( effective soil thickness, organic layer thickness, soil texture, water - stable aggregate and soil water etc. ), chemical fertility ( organism, omni - n, omni - p, omni - k, alkali - nitrogen, available p, available k and rapid available k etc. ), soil animalcule ( bacteria, fungi, actinomyces and their grosses ) and soil - seed - pool ( plant community diversity index ) in karst ecosystem

    本研究以重慶市的南川金佛山（自然保護區） 、黔江武陵山（國家重點退耕還林示範縣，森林覆蓋率50以上）和北碚中梁山（遭人為破壞嚴重）典型巖溶區為對象，選擇了幾種重要的利用方式，包括林地、果園、耕地、棄耕地和灌草坡，採用野外巖溶生態調查和室內試驗測量分析相結合的方法，以不同土地利用方式巖溶土壤肥力為重點，對不同土地利用方式土壤肥力特徵進行量化分析，找出巖溶土壤肥力差異的主要方面及其根本原因，論文主要從土壤剖面物理退化指標（有效土層厚度、有機質層厚度、質地、團聚體、水分含量等） ，化學肥力退化指標（有機質、全n 、全p 、全k 、堿解n 、速效p和速效k等） ，樣地土壤微生物指標（細菌、真菌、放線菌數量及總量）以及樣地土壤種子庫植物群落多樣性等4個方面對重慶典型巖溶區的土壤肥力特徵進行了較為詳細的分析研究，為巖溶地區士壤資源的合理利用及結構的調控管理提供依據。
  2. The thesis discuss the data mining principle and technology from application and the fact of guizhou telecom. by uniting the designing and developing processes, the system cleanout, change, loading the volume custom operation data into the data warehouse that used many analyst methods such as clustering analyst, forecast analyst to make the function of subdividing custom colony and running and improved the competition core ability of enterprise

    同時，針對貴州電信海量的客戶運營數據，經過清洗、轉換、整合到數據倉庫中，採用了多種分析方法，如聚類分析、預測分析，實現了客戶群細分、客戶流失預測等功能，極大的提高了貴州電信核心競爭力。
  3. Only homothallic cbs g possessed a single independent lineage. both a. mellea and a. tabescens appeared in two groups. the two clusters of a. mellea correlated to the geographical origin of the isolates, one is the north american lineage and another is the european lineage

    用11個種43個圖譜的數據建立了聚類樹圖，可以清楚地見到9個類群，只有cbsg擁有一個單獨的發育系，蜜環菌狹義種和假蜜環菌都存在兩個不同的發育系，蜜環菌狹義種的兩個發育系與地理起源有關，一個是北美菌株發育系，另一個是歐洲菌株發育系。
  4. Outliers mining and application based on clustering

    基於聚類的離群數據挖掘及應用
  5. An ant algorithm for data broadcasting and gathering in the sensor network

    基於蟻群系統的傳感器網路廣播與數據聚集演算法
  6. The result of the cluster analysis at the individuals level shows that most of the individuals from different populations cluster together and the individuals from one or two populations does n ' t emerge in some phenons, which means that certain degree of morphological and genetic differentiation occurred among populations. this also reflects that there is genetic heterogeneity among individuals or the variation of micro - habitats in a same population. from cluster analysis at the population level we found that there is obvious differentiation between the populations from east hot spring and the populations from other places, this differentiation probably caused by the geographical isolation among those populations

    對所測量的形態特徵的數據在個體水平上進行聚類結果表明，同一種群的個體並不是完全有序地聚在一起，而不同種群間的個體常無序地聚在一起，同時也有一些大的表徵群不出現某些種群的個體，說明部分種群間有一定的分化，這也反映了種群內部個體間的遺傳異質性或由於種群內部微生境的差異導致的種群內個體間的形態異質性。
  7. The bisonc burnup library is replaced to facilitate the computation of the burnup process with complicated burnup chains. we have made and evaluated the new library ( hendl ) which contains 139 kinds of nuclides with 175 groups for neutron and 42 groups for gamma, 15 kinds of neutron reactions and p0 - p5 expansion. the revised code which we call bus - id is more adaptable to the computation of hybrid reactor for its fuel breeding and the transmutation of the hlw

    並且在一維輸運及燃耗計算程序bisonc的基礎上，提出用新的數據庫（ hendl ）代替原有的bisonc數據庫， hendl庫考慮了更加全面的燃耗過程和多種燃料循環方式，通過修正讀入的核截面數據庫中的參數，考慮共振自屏效應，製作並且評估了新的含有139種核素、多種反應截面、 175群中子42群光子、 p _ 0 - p _ 5展開的中子反應數據庫，開發出新的程序bus - 1d ，使得更能適應聚變?裂變混合堆的燃料增殖、高放長壽命核廢料（ hlw ）的嬗變等計算的要求。
  8. In the second chapter, the thesis introduces some primary concepts of data mining, investigates and discusses the key technology of data mining, including outlier analysis, clustering and classification. and the main algorithms of data mining, which the later chapters of this thesis refer to, are also given in detail

    第二章介紹了數據挖掘的一些基本概念，對數據挖掘的主要技術- - - -離群分析、聚類以及分類技術作了深入的研究和探討，並在此基礎上詳細地給出了本文後繼章節中所涉及到的主要數據挖掘演算法。
  9. But there is ambiguously taxonomic position between chaitophoridae and aphidinae. the genetic distance of aphididae and macrosiphinae in aphididae is more diverged than that of between chaitophoridae and aphididae. the 600bp - 1700bp region of issrdna gene maybe unsuitable to aphididae, it includes a helix e21

    1數據分析軟體中構建的upgma 、 nj 、 me和mp分子系統樹一致支持群蚜科和毛管蚜科形成一單系群，這二者相聚后與刺蚜亞科互為姐妹群。
  10. Despite the overall positive trend of social development index 2004, disadvantaged groups were not benefiting from the economic prosperity. to mobilize community efforts in promoting social development, a poverty summit was held and poverty visits were organized to enhance cross - sectoral understanding and partnership in alleviating poverty

    根據社聯香港社會發展指數2004研究結果顯示，雖然整體社會每年均有進步，但弱勢社群卻未能受惠。為匯聚各方力量促進社會發展，我們舉辦貧窮高峰會及訪貧之旅，凝聚跨界合作探討消減貧窮的策略。
  11. Then the genetic distance and shannon information index among these 13 strains were obtained by using the software popgen2 on the basis of pcr - rflp patterns. the phylogenetic tree was constructed by using the upgma algorithm method ( mega2 software package ). the shannon information index indicated that there was a higher genetic diversity among the frankia strains and some strains had a big genetic distance with others

    根據酶切圖譜，通過popgen2軟體計算各供試菌株之間的遺傳距離；用shannon信息指數計算種群遺傳多樣性；利用upgma法（ mega2軟體）對所獲得的遺傳距離矩陣進行聚類分析，得到13株供試frankia菌株間系統發育的聚類分析樹狀圖譜。
  12. Primers of ecori were signed with fluorescent dye and four pairs of primers were selected from twenty - four pairs. 261 dna fragments were generated by the four pairs of primers in forty - three individuals sampled. percentage of polymorphic bands is 51 %, the value of shannon index ( i ) is 0. 086 and nei ' s gene diversity ( h ) is 0. 151

    統計這些aflp表型帶標記，用popgene軟體計算各種多樣性數據（ ppb值為51 ， shannon多樣性指數為0 . 086 ， nei ' s基因多樣性值為0 . 151 ） ：用ntsys軟體計算各個樣品間的相似性系數，並用upgma法基於相似性系數進行聚類分析，構建樹狀圖，它們可反映出元寶山冷杉種群內個體間的遺傳關系。
  13. Firstly, the main data mining technology and methods in cbr are investigated and discussed. secondly, to meet different requirements of applications, two algorithms of case base construction and one algorithm of case base maintenance are put forward, to which association analysis, outlier analysis. clustering and classification are applied

    首先研究和探討了cbr中數據挖掘的主要技術和方法，之後針對不同的應用需求，提出了兩個範例庫構造演算法和一個範例庫維護演算法，分別將數據挖掘中的主要技術- - - -關聯分析、離群分析、聚類和分類技術應用於其中，並給出了實驗實例，實驗結果證明了演算法能夠有效地提高cbr系統中知識獲取的自動化程度和系統的性能。
  14. In chapter 5, according to the characteristic in the stage of concept evaluation of product design, the quality attribute preference aggregate model which support multi - attribute and group decision is set forth. according to the model, preference aggregation method based on evidential reasoning and rough set theory and rational evaluation method of multi - attribute and multi - evaluator are put forward. consider the wave of evaluator ' s preference caused by uncertainty, robust of quality attribute and concept in the stage of concept evaluation are put forward for the first time

    第五章根據產品設計方案評價的特點，提出了支持多屬性群組評價的質量屬性偏好聚合模型，並提出了基於證據推理與粗集理論的質量屬性偏好聚合方法和理性化的偏好聚合方法；針對由不確定性引起的評價者偏好的波動，首次在方案設計階段根據偏好波動提出了質量屬性和方案魯棒性的概念，給出了質量屬性魯棒性的數學描述和方案魯棒性的計算方法；並且進行了實例應用。
  15. Agv ( automated guided vehicle ) optimization is a typical np problem, in the course of initial group generation, this article applied accumulator process, crossover operator based continuous insertion heuristic mode, and push - connect - exclude method. according to stacker running process and characteristics, stacker optimization was devided into two parts, the first one was shelves number optimization, the second one was travel scheduling problem. finally, this article written genetic algorithm program based on c

    Agv的優化調度屬于典型的np問題，在初始群體的產生中，採用聚加過程，並建立了可行插入的條件；提出了基於連續插入啟發式的交叉運算元；採用了推?銜接?排除過程來使任務的滿意度達到最佳；針對堆垛機的運行過程，建立了數學模型，並依據其運行特點，把堆垛機的優化分為兩部分，一是針對庫位號的優化，改變傳統的庫位號排列方式，利用遺傳演算法建立起比較合理的庫位號排列順序；二是把堆垛機的運行線路簡化為旅行商問題，並做了適當的修改。
  16. The distribution and structure of the allelic polymorphism data are analyzed and it is pointed out that the distribution of allelic polymorphism data reveals the characteristic of closed data ( also named as compositional data or data of constant sum ) it is interpreted that the correlation structure of the allelic polymorphism data contains null correlations introduced by " closure " and the statistical distribution of the data is not normal because of its constant row sum, which resulted in great difficulties in analyzing the data with traditional multiple linear statistical methods such as principal component analysis, factor analysis, cluster analysis and canonical correlation analysis

    摘要長期以來，對于多維基因多態性數據的多元統計分析，如計算遺傳距離時所用的聚類分析、分析群體遺傳結構時所用的主成分分析、因子分析和典型相關分析等，一直應用為無約束條件數據而設計的經典多元線性分析方法，並沒有注意基因多態性數據的「閉合效應」所帶來的問題。
  17. The former one gains the aim of improving the recommended speed by grouping the transaction clusters, which make system has ability to solve the limitations of the collaborative filtering technology which ca n ' t process huge data. the latter one adopts hypergraph partitioning skill and effectively groups the association rules according to the users " historical visiting data

    基於關聯規則聚類的推薦演算法採用超圖劃分的技術，對根據用戶的歷史訪問數據得到的關聯規則進行有效的分組，可以找出不同興趣用戶群的相同訪問模式，提高了推薦的質量。
  18. Some analyses of data feature in urban aerial image are done first, and a split - block - clustering based on fcm method is discussed for the coarse segmentation of building groups, which can reduce the search region for buildings extraction and decrease calculation much more

    首先分析了城市航空影像數據特點，並利用分塊fcm聚類方法對建築群進行預分割，從而縮小了在航空影像數據中建築物提取的搜索空間，大大較少了計算量。
  19. Use the hierachical fuzzy clustering algorithm to cluster the similar customers and solve the problems of validity of clustering results and how to get the best clusters. get the customer group requirement tendency model that belongs to the vision of customers. provide the necessary data preparation for the transformation of customer requirements to engineering parameters and indexes

    研究了大規模定製的市場細分過程：應用matlab語言實現的層次模糊聚類分析演算法將相似需求的客戶聚成一類，極大的簡化了演算法的實現復雜度，解決了聚類結果的有效性評估和最佳分類的確定問題，獲得屬于客戶視角的客戶群體需求傾向模型，達到細分市場的目的，並為進一步將客戶需求轉化為工程意義的技術參數或指標提供了必要的數據準備。
  20. It showed the geographical difference was not one of the potential factors, which affected the genetic differentiation of p. sibirica. the cluster analysis could classify 98 individuals into 5 centers by ward ' s method. it also showed there were some differentiations among subpopulations

    根據rapd數據對叉毛蓬98個個體進行ward聚類分析，結果可將98個個體都能區分開， 5個亞居群都有明顯以彼此為中心聚集的趨勢，說明各亞居群間已有不同程度的遺傳分化。
分享友人
分享到 Line

分享到臉書