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euclidean distance中文是什么意思

  • 歐幾里德度量
  • 歐幾里德規(guī)則
  • 歐幾里德距離
  • 歐幾里得距離
  • 歐式距離
  • 歐氏距離

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  • 例句與用法
  • Artificial immune algorithm based on euclidean distance and king - crossover
    基于歐氏距離和精英交叉的免疫算法研究
  • A model based on euclidean distance for performance evaluation of camouflage equipment
    一種基于歐氏距離的偽裝器材性能評估模型
  • A fast algorithm for complete euclidean distance transformation based on contour scanning
    基于圍線掃描的快速完全歐氏距離變換算法
  • Automatic image mosaic technology based on least euclidean distance criteria of net template
    基于網(wǎng)格模板的最小歐式距離準則圖像自動拼接技術(shù)
  • During the recognition phase , euclidean distance representing vq distortion in this project is calculated
    在認識階段期間,通過對歐幾里德距離代表vq的計算來減少失真。
  • Cluster analysis based on euclidean distance of morphological characters confirmed the traditional taxonomy system . 2
    采用歐氏距離的聚類結(jié)果很好印證了傳統(tǒng)的分類系統(tǒng)。
  • 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(tǒng)的k -均值算法選擇的相似性度量通常是歐幾里德距離的倒數(shù),這種距離通常涉及所有的特征。
  • Given the voronoi diagram of atoms based on the euclidean distance from the atom surfaces , the proposed algorithm first computes a - beta - shape with an appropriate probe
    由于一個氨基酸由一組原子組成,一種蛋白質(zhì)可以由表示為原子的一組三維剛性球來建模。
  • The tcq algorithm takes advantage of convolution code , and enlarges the euclidean distances among quantized data by expanding data dimensions
    Tcq算法充分利用了卷積碼的特性,采用信號空間擴展的方法來增大量化信號的歐式距離,從而達到提高量化性能的目的。
  • Generally , the euclidean distance and k - means algorithm can be used to clustering the time series , but it is hard to separate the time series with great different variability well
    通??刹捎脷W式距離及k均值算法進行時間序列聚類,但經(jīng)分析發(fā)現(xiàn)單憑此方法還難以實現(xiàn)不同變化趨勢的交通流時間序列的有效分離。
  • 更多例句:  1  2  3  4
  • 百科解釋
In mathematics, the Euclidean distance or Euclidean metric is the "ordinary" distance between two points that one would measure with a ruler, and is given by the Pythagorean formula. By using this formula as distance, Euclidean space (or even any inner product space) becomes a metric space.
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