The TCQ algorithm takes advantage of convolution code, and enlarges the Euclidean distances among quantized data by expanding data dimensions.
TCQ算法充分利用了卷积码的特性，采用信号空间扩展的方法来增大量化信号的欧式距离，从而达到提高量化性能的目的。
This paper briefly introduces two classes of methods for molecular 3D structure comparison, one is based on Euclidean distances, and another is based on relativity of properties.
本文首先简单介绍了目前常用的两类分子空间结构相似性比较方法，一类是基于欧几里得几何距离的，另一类是基于特征相关性的。
With the minimum square sum of weighted Euclidean distances as the objective function, the unified theory and cyclical iteration model of fuzzy cluster, recognition and optimum decision are founded.
通过以全体样本对全体类别加权广义欧氏权距离平方和最小为目标函数，建立了模糊聚类、识别与优选决策统一的理论与循环迭代模型。
For local networks, it often is necessary to use rectilinear or "checker-board" distances, instead of straight Euclidean lines.
对于局部网络而言，有必要用直折线距离或“棋盘”距离来代替欧氏直线距离。
For local networks, it often is necessary to use rectilinear or "checker-board" distances, instead of straight Euclidean lines.
对于局部网络而言，有必要用直折线距离或“棋盘”距离来代替欧氏直线距离。
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