距離這個概念 的英文怎麼說

中文拼音 [jùlízhègègàiniàn]
距離這個概念 英文
distance as a concept
  • 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...
  • 這 : 這代詞（常用在量詞或數量詞前） this
  • 個 : 個Ⅰ量詞1 （用於沒有專用量詞的名詞） : 一個理想 an ideal; 兩個月 two months; 三個梨 three pears2 ...
  • 概 : Ⅰ名詞1 （大略） general outline 2 （神氣） manner of carrying and conducting oneself; deportment ...
  • 念 : Ⅰ動詞1 （看著文字發出聲音; 讀） read aloud 2 （上學） study; attend school 3 （想念; 考慮） think...
  • 距離 : 1 （相隔的長度） distance; range; gap; space; spacing; separation 2 （相距） be apart from; be aw...
  • 概念 : concept; conception; notion; idea
  1. Brings forward the basic network cell model of symmetrical blast vault and asymmetric blast vault. then studies and analyses airflow in vault of main voltage switchyard hall of xiluodu hydropower station which is far cry and large numbers of airflow conflux, brings forward concept of “ virtual embranchment ” and corresponding basic network cell model, regresses calculate expressions of flux uniformity coefficient and impedance of “ virtual embranchment ” of vault of main voltage switchyard hall of xiluodu hydropower station

    而後又採用cfd數值模擬的方法對溪洛渡水電站主變洞排風拱頂這種多股氣流匯流的長距離通道內的氣流流動進行了分析，提出了「虛擬分支」的概念和相應的網路基元模型，並回歸得到了溪洛渡水電站主變洞排風拱頂各個排風「虛擬分支」風量均勻系數以及阻抗的計算公式。
  2. More importantly, the concept of distancing can be applied to a company which is not in the number one position

    還有一點更重要，不是名列前茅的公司，也用得著拉開距離這個概念。
  3. This paper introduces the development of data mining and the concepts and techniques about clustering will be discussed, and also mainly discusses the algorithm of cluster based on grid - density, then the algorithm will be applied to the system of insurance ? among the various algorithms of cluster put forward, they are usually based on the concepts of distance cluster o whether it is in the sense of traditional eculid distance such as " k - means " or others o these algorithms are usually inefficient when dealing with large data sets and data sets of high dimension and different kinds of attribute o further more, the number of clusters they can find usually depends on users " input 0 but this task is often a very tough one for the user0 at the same time, different inputs will have great effect on the veracity of the cluster ' s result 0 in this paper the algorithm of cluster based on grid - density will be discussed o it gives up the concepts of distance <, it can automatically find out all clusters in that subspaceo at the same time, it performs well when dealing with high dimensional data and has good scalability when the size of the data sets increases o

    在以往提出的聚類演算法中，一般都是基於「距離（ distance ） 」聚類的概念。無論是傳統的歐氏幾何距離（ k - means ）演算法，還是其它意義上的距離演算法，這類演算法的缺點在於處理大數據集、高維數據集和不同類型屬性時往往不能奏效，而且，發現的聚類個數常常依賴于用戶指定的參數，但是，這往往對用戶來說是很難的，同時，不同參數往往會影響聚類結果的準確性。在本文里要討論的基於網格密度的聚類演算法，它拋棄了距離的概念，它的優點在於能夠自動發現存在聚類的最高維子空間；同時具有很好的處理高維數據和大數據集的數據表格的能力。
  4. At the same time, we consider the reconstructed ermrs of a test sample in two spaccs : the between - class eigenmotion subspace and the within - class eigenmotion subspace, which are used as the classifier rule, in contrast to the traditional methods such as euclidean distance or mahalanobis distance in one subspace. experimental results show that this method outperforms the eigenface method in the presence of facial expression variations

    在特徵運動的基礎上，我們還提出了同類特徵運動空間和異類特徵運動空間兩個子空間的概念，並且分析測試樣本在這兩個子空間的重建誤差，以此作為分類標準，而不是簡單地考慮在一個子空間里歐氏距離或者馬氏距離。
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