similarity distance 中文意思是什麼

similarity distance 解釋
相似性距離
  • similarity : n. 1. 類似，相像，相似。2. 類似點；類似物，相似物。
  • distance : n 1 距離，路程。2 遠隔，遠離；遠處，遠方。3 （時間的）間隔，長遠，長久。4 懸殊。5 隔閡，疏遠。6 ...
  1. The average genetic distance in amphioxus was 0. 1344, and the range of genetic similarity indexes was from 0. 78 to 0. 96, the average was 0. 8656

    計算其個體間遺傳相似系數平均為0 . 8656 ，遺傳距離平均為0 . 1344 。
  2. 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。
  3. 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。
  4. 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。
  5. 45, they shared a high genetic similarity and small difference in morphology ; 2 ), the genetic distance between rhapis humilis and r. humilis cv

    ~了rz 』 ， 』 ）的遺傳距離為0 . 44 ，從dna水平上和形態結構上都應該是兩個不同的種。
  6. First, the question answering system calculates semantic similarity by using distance between words in semantic tree and the height of semantic tree, then this system uses semantic similarity between words and the weight of word to calculate semantic similarity between users ' questions and questions in answer database

    首先，利用語義樹中詞語間的距離和語義樹的高度來計算詞語間的語義相似度，然後利用詞語間的語義相似度和詞語的權重進一步計算用戶問題與答案庫中問題間的語義相似度。
  7. General method of similar sequence mining based on time series is to transform time series into discrete character series and cluster them into different sets, then compute the euclidean distance between querying series and these sets to measure their similarity

    摘要時間序列數據庫中相似子序列的搜索，常用滑動窗口、分形插值逼近等方法將時間序列分割成各子序列，線性擬合各分段子序列，計算查詢序列與各子序列的歐氏距離，滿足距離閾值條件的為相似子序列。
  8. Qiupu river mandarinfishes have higher intra - population similarity index value than the other two populations, which showed that there were less genetic variations in qiupu river population, as well as differentiations have been generated between qiupu river mandarinfishes and changjiang mandarinfishes. 2. the genetic distance between qiupu river population and changjiang population is the cloest, which is 0. 0411, and genetic distance between qiupu river population and wanfuhu population, between changjiang population and wanfuhu population is 0. 1766, 0. 1230 respectively

    秋浦河鱖魚、長江鱖魚、萬佛湖鱖魚群體內的遺傳相似性系數分別為： 0 . 9063 、 0 . 8839 、 0 . 8931 ；群體間的遺傳相似性系數分別為：秋浦河鱖魚和長江鱖魚0 . 8590 、秋浦河鱖魚和萬佛湖鱖魚0 . 7956 、長江鱖魚與萬佛湖鱖魚0 . 8178 。
  9. This feature perfectly combine the frequency in acoustics level and the temperament in music semantic level, we use the cosine distance of this feature to represent the similarity of two music clips, then we design a group of algorithms that is inspired from the thought of edit distance and dynamic programming. they segment the feature vectors into groups at first, then through group similarity match, group recurrent detect, merge recurrent group and structure label joined algorithms to complete the music structure label task. because this is a really new field of research and no good method of evaluation had been finding, we propose a new evaluation method and the results of the experiments show that it is a good method

    然後設計了一組源於編輯距離和動態規劃思想的音樂結構分析演算法，首先將特徵向量分組，然後經過組相似匹配、組重現檢測、重現組歸並和自動標注四個前後銜接的環節實現了音樂結構的自動標注，較好地實現了將音頻形式的音樂自動標注為表示音樂結構的三元組列表形式，由於這是一個新的領域，目前還沒有比較好的量化評價方法，本文提出一種新的評價方法，並用它來評價結構分析的結果，取得了較好的效果。
  10. After the weightiness of product attributes being researched, a new method is established to calculate the weight of attributes. the method is applied in weighted distance coefficient and system similarity to measure similarity degree. it enhances the objectivity and accuracy of the similarity measures

    探討了在相似度量中機械產品系統特徵屬性的重要性問題，提出一種新的權重值確定方法，在此基礎上建立加權距離系數法，並研究了系統相似度量方法，提高了相似度量的客觀性與準確性。
  11. 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。
  12. 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。
  13. 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。
  14. With respect to genetic similarity, genetic distance and cluster analysis among samples of f1 generation, it showed that the most genetic identity is between jfp and jmp, ( i = 0. 9934, dnei = 0. 0066 ), the next was between jp and jmp ( i = 0. 9873, dnei = 0. 0128 ), the third was jp and jfp, with i = 0. 9681, dnei = 0. 0325 ; the fourth was jp and cp, with i = 0. 9035, dnei = 0. 1015 ; the fifth was cp and jmp, with i = 0. 8862, dnei = 0. 1208, and the furthest was between cp and jfp, with i = 0. 8648, dnei = 0. 1452

    由此可以看出在此四組中，雜交組的遺傳變異明顯高於自交組的，雜種優勢已初步顯示出來。而在兩雜交組中，日雄中雌雜交組又優于日雌中雄組中自交組。群體間遺傳相似系數和遺傳距離及聚類分析結果表明：兩雜交組間的遺傳相似系數最大，遺傳距離最小，僅為0 . 0066 ，而中自交組群體與日雌中雄雜交組群體的遺傳距離最大為0 . 1452 ，兩自交組群體間的遺傳相似系數為0 . 9035 ，遺傳距離為0 . 1015 。
  15. 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
  16. Similarity degree and pseudo - distance in propositional logic s

    3中的相似度及偽距離
  17. Individual factor is divided into cognition factor, personality factor, competence factor and appearance factor. mutual factor is divided into mutual space / distance factor, mutual intercourse frequency factor, mutual similarity factor, mutual complementary factor and mutual adoration factor. and exterior factor is considered to include social circumstance factor and school circumstance factor

    再對三大因素分別進行進一步聚類分析，個體因素又被分成認知因素、個性品質因素、能力因素和儀表因素；雙方互動因素被分成雙方空間距離因素、雙方交往頻率因素、雙方相似因素、雙方互補因素和相悅因素；外部因素被分成社會環境因素和學校環境因素。
  18. It presents algorithms to extract the similarity of intersect curve in different offset distance and use ttp to label the topology of surface intersect. the algorithms succeed in combination of tracing method and topology information, and present an optimized offset ssi algorithm. the optimized algorithm pre - processes surfaces to achieve ttp, and decides calculation strategy of starting points by analyzing the properties of ttp on the surface

    本文通過對等距曲面交線結構進行了大量的分析，從交線的形成和演化過程，揭示了等距曲面的交線拓撲結構和曲面上特徵點之間存在著本質的聯系，提取等距曲面不同offset距離交線環的相關性，並使用特徵點來標識交線環的拓撲信息，成功地將拓撲信息和跟蹤法相結合，設計了一種等距曲面求交優化演算法。
  19. Improved similarity degree and pseudo - distance in a class of n - valued propositional logic

    值命題邏輯系統中改進的相似度及偽距離
  20. Conclusively, morphological similarity and distance in phylogenetic tree are far from the same thing, and no inevitable relationship exhibits between them

    由此推斷，形態相似性與進化關系的遠近是兩口事，二者之間無必然的聯系。
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