相似性距離 的英文怎麼說

中文拼音 [xiāngsìxìngjùlí]
相似性距離 英文
similarity distance
  • 相 : 相Ⅰ名詞1 （相貌; 外貌） looks; appearance 2 （坐、立等的姿態） bearing; posture 3 [物理學] （相位...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 距 : Ⅰ名詞1 （距離） distance 2 （雄雞、雉等的腿的後面突出像腳趾的部分） spur （of a cock etc ）Ⅱ動詞...
  • 離 : Ⅰ動詞1 （離開） leave; part from; be away from; separate 2 （背離） go against 3 （缺少） dispens...
  • 相似性 : [物理學] similitude; similarity相似性定律 similar law; 相似性法則 similarity rule
  • 相似 : 1. （相像） resemble; be similar; be alike 2. （相像處; 類似物） similarity; similitude; analogue
  • 距離 : 1 （相隔的長度） distance; range; gap; space; spacing; separation 2 （相距） be apart from; be aw...
  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. In contrast, sequences from two strains gymnodinium are divergent ( the sequence similarities of the small subunit ( ssu ) rdna, the its1, the 5. 8s rdna, the its2 and the large subunit ( lsu ) rdna are 76. 5 %, 25. 4 %, 54. 2 %, 23. 2 %, 56. 5 %, respectively ), though their phylogenetic positions are relatively close

    ，編號為gyn - 15 ） 、一株米氏裸甲藻（ gymnodiniummikimotoi ） ）雖然進化距離接近，但它們的rdna序列相似性卻很低，全長序列的相似性僅為54 . 1 。
  3. In this work, some species of palmae cultivated in the xiamen botanical garden had been selected to be analyzed their genetic diversity with rapd ( random amplified polymorphic dna ) technique. according to the result of genomic dna amplified with pcr ( polymerase chain reaction ), genetic distance and similarity between different palm species were calculated on nei " s estimate of similarity and genetic distance. a primary but first time research at the phylogenetic relationships of some genera and species, the molecular classification and identification of some puzzling species of palmae was carried out through upgma ( unweighted pair group mean average ) cluster analysis of the genetic distance together with comparative study of the morphological structure characteristics

    本文在初步調查分析了棕櫚科植物在我國的自然分佈、引種馴化情況以及該類植物在廈門地區栽培應用狀況的基礎上，首次採用rapd分子標記技術，對廈門萬石植物園引種的一些棕櫚科植物的遺傳多樣性進行了研究，根據pcr對基因組dna擴增的結果，用nei ' s相似性系數計算了不同植物間的遺傳距離和遺傳一致度，通過對遺傳距離的upgma聚類分析，並結合形態分類的特點，對棕櫚科植物的屬、種間的系統分類關系和一些疑難種的分類鑒定進行了初步研究。
  4. Sixties primers were used for dna amplification and a total of 237 amplification products range from 450bp to 2500bp were generated. a similarity matrix for all pairwise comparisons was calculated using nei and li ' s formula and then transformed to distance matrix. dendrograms were constructed by applying unweighted pair - group arithmetic average ( upgma ) and neighboring - jointing cluster analyses using the phylip software

    在第二部分，應用改進的ctab法提取了石蓴屬和滸苔屬各3個種及作為對照的剛毛藻的基因組dna ， 60個引物被用於擴增，共獲得237個片段大小在450 - 2500bp之間的擴增片段，依據nei和li （ 1979 ）的公式計算出樣品成對比較的相似性距陣並換算成遺傳距離，應用phylip軟體包，按照upgma法和n - j法分別構建聚類圖。
  5. The euclidean distance is usually chosen as the similarity measure in the conventional k - means clustering algorithm, which usually relates to all attributes

    傳統的k -均值演算法選擇的相似性度量通常是歐幾里德距離的倒數，這種距離通常涉及所有的特徵。
  6. Because of the method is convenient and fast, and no molecular information about the species to be studied is needed, rapd is widely used in many areas such as study of phylogenetic tree and genetic diversity. we studied 32 crested ibises from yong county and 5 crested ibises from beijing zoo by rapd

    我們採用rapd技術對來自洋縣的32隻朱?和來自北京動物園的5隻朱?進行了研究，根據實驗數據計算了任意兩個個體之間的相似性系數和遺傳距離，分別用upgma法和簡約法構建出其譜系關系，並對種群的遺傳多樣性作了初步的探討。
  7. This paper gave a recipe distance measurement method and recipe class distance measurement method based on hybrid variables measurement

    建立了配方的相似性測度及配方類間混合距離測度方法。
  8. It is found that sequences of rdna from three chaetoceros strains show high level of the total sequence similarities ( all above 99 % ), and show close relationships

    結果發現三株角毛藻的rdna序列相似性非常高（全序列的相似性均大於99 ） ，進化距離也非常接近；而兩株裸甲藻（一株裸甲藻未鑒定種（ gymnodiniumsp
  9. In this article, an equivalent definition of reconstruct function is drew in the state space reconstruct by time delay chaotic time series, that lead the prediction more conveniently. then introduce a weighted distance to depict neighbour points of prediction which insured the similarity of the neighbour points

    本文在時間序列坐標延遲后重構的相間中，作出重構函數的等價定義，提高了預測的可操作性；並在此基礎上，引入了加權距離來刻畫預測向量的鄰近點，保證了鄰近點的相似性。
  10. In similarity measurements mentioned above, the paper analyses the drawback of bin - by - bin - form distance and cross - bin - form distance. the best - weight distance is presented which matches human vision as well as possible. also, the principle of the distance is based on transport problem

    在進行特徵的相似性度量時，本文分析了一一映射距離和交叉映射距離的不足，提出了基於人類識別比較特點的最優權值度量距離，利用運輸問題的計算方法對該距離的實現找到了理論依據。
  11. The fuzzy distance is defined to measure the similarity of two elements, and the similarity distance of two sequences is defined as the mean of the fuzzy distance of the elements on the mapping path

    2為了度量序列模式的相似性，定義了順序映射來描述序列變化模式之間的對齊，將序列映射路徑上的模糊相似性距離作為兩個序列之間的相似性度量。
  12. At the aspect of examining genetic similarity and distance, there was difference between the results obtained by two techniques. the genetic diversity revealed by issr was higher than that obtained by rapd

    在遺傳相似性和遺傳距離上，兩種方法的分析結果也是有差異的ssr分析的群體間的遺傳距離均比rapd的分析結果高；遺傳分化系數的差異也很大， issr在0
  13. Then, the minimum circumscribed circle and shape principal orientation of the object region are calculated ; and the object region is divided into some blocks in the polar coordinate, which uses the center of the minimum circumscribed circle as the origin and the direction of the shape principal orientation as the direction of the polar axis, and the features of all subblocks are extracted to compose shape histograms and then smoothed ; then, combined with global features to synthetically represent the content of the image ; finally, a new image similarity is used to compute the distance between images

    首先對商標圖像進行預處理，得到規則二值圖像;計算目標像素的最小外接圓和圖像的形狀主方向;在以最小外接圓圓心為原點、形狀主方向為極軸方向的極坐標中將圖像分塊，提取各子塊特徵，構成形狀直方圖並平滑處理;再結合全局形狀特徵來綜合表示圖像內容;最後採用新的相似性度量方法計算圖像間距離，實現商標圖像的準確檢索。
  14. Aimed at static image retrieval based on color, a multimedia image database which included three layers was designed and the search algorithm of the correlation and polymerization histogram was used in the article. to show color characteristic of image, the method of the hsb ( hue, saturation, brightness ) color space, which is suitable to the visual characteristic of human, is utilized. taking advance of human ' s feeling to color, it quantifies color sector with unequal interval, and get characteristic vector

    針對基於顏色的靜態圖像檢索，本文設計了一個三層的多媒體圖像數據庫，選用基於相關聚合直方圖的演算法，採用符合人類視覺特徵的hsb顏色空間來表示圖像的顏色特徵，利用人對顏色的感知來對顏色分量進行非等間隔的量化並形成特徵矢量，用距離度量函數進行圖像的相似性匹配。
  15. The performance of similarity indexing structures in high dimensions degrades rapidly. in lower dimensional space, we often use lp - norm to measure the proximity between two points, but in many case the concept of this proximity is never meaningless in high dimensional space. these issues bring high dimensional data mining two challenges

    隨著數據維數的升高，高維索引結構的性能迅速下降，在低維空間中，我們經常採用l _ p距離作為數據之間的相似性度量，在高維空間中很多情況下這種相似性的概念不復存在，這就給高維數據挖掘帶來了很嚴峻的考驗，一方面引起基於索引結構的數據挖掘演算法的性能下降，另一方面很多基於全空間距離函數的挖掘方法也會失效。
  16. This algorithm uses improved euclidean distance as similar measurement, and then evaluates the similar distance between steam time series and feature time series in a batch mode using fast fourier transform

    該演算法利用改進的歐氏距離作為模式的相似度量方式，然後利用快速傅立葉變換，實現動態序列與各指定模式的批處理相似性計算。
  17. The method first segments time series based on a series of perceptually important points, use segment dynamic time warping distance as measurement, and then time series are converted into meaningful symbol sequences in terms of the segment ' s features and math categorization. after that, use above index model - irst, to achieve fast similarity retrieval in multiple time series

    該方法提出通過基於重要點分段技術的分段動態挖掘距離作為相似性度量，既保證了度量的魯棒性，又減少計算復雜度；利用各個分段的抽取六個主要特徵，將時間序列轉化成一種特定的符號序列，在此基礎上利用海量全文索引結構實現了相似性的索引查找。
  18. The main research of this paper includes four parts : a. analyzing the sampling methods for testing the large - scale corpus segmentation and using isodata clustering method to sort the corpus ; b. presenting the mode configuration of corpus ; c. analyzing the measurement formula for the similarity of samples, and adopting a new measurement formula, in which the distance of the sample vector and the linear correlation between the components of the sample vector are taken into consideration comprehensively ; d. presenting evaluation function of the result

    研究聚類中的樣本相似性度量公式，採用改進的絕對值法計算。該公式既能反映樣本向量間的距離，又能反應樣本向量各分量之間的相關性； d給出聚類結果的評價函數，根據該評價函數可以實現對聚類參數的有益指導，在聚類結束時還可根據評價函數值直接求得聚類所帶來的增益。
  19. The simulation on synthetic data and stock index is demonstrated. 3 ) for fast sub trend sequence searching, a various steps algorithm is proposed based on analyzing the similarity of adjacent sub series distance

    並分別對人工數據和股票指數進行模擬計算； 3 ）通過分析相鄰子序列趨勢距離的相似性，提出一種變步長趨勢子序列快速搜索演算法。
  20. Furthermore, bhattacharyya distance is employed to estimate the similarity between the target model and each hypotheses of the particle filter, which makes the measurement matching and samples ' weight updating more reasonable

    利用巴特查理亞距離描述粒子與目標顏色模型的相似性，作為粒子更新權值的有力依據。
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