在认识阶段期间，通过对欧几里德距离代表VQ的计算来减少失真。
During the recognition phase, Euclidean Distance representing VQ distortion in this project is calculated.
从欧几里德距离空间的概念出发，提出了一种对SAR压制干扰效果的评估方法。
Basing on the concept of Euclid distance space, this paper introduces an evaluation technique of barrage jamming effect on SAR.
并给出了利用半径描述子计算图像区域面积以及利用欧几里德距离判定边界相似度的方法。
A new method using Fourier radius descriptor to compute the area of image and using Euclidean distance to determine the similarity of boundary is educed too.
传统的K-均值算法选择的相似性度量通常是欧几里德距离的倒数，这种距离通常涉及所有的特征。
The Euclidean distance is usually chosen as the similarity measure in the conventional K-means clustering algorithm, which usually relates to all attributes.
传统的K-近邻算法选择的相似性度量通常是欧几里德距离的倒数，这种距离通常涉及所有的特征。
The Euclidean distance is usually chosen as the similarity measure in the conventional K-NN algorithm, which usually relates to all attributes.
随着数字电路技术和图像处理技术的飞速发展，人们对欧几里德距离转换的相关研究也逐渐成熟起来。
The fast progress of multimedia technology and image processing pushes the research in algorithms for distance transform into a further level.
本文针对利用欧几里德距离作为相似性测算引起聚类结果的不稳定性，提出一种基于内聚力作为相似性测算的聚类方法。
Aimed at the instability of clustering results based on Euclidean distance to compute the similarity, this paper proposes a clustering method based on cohesion to compute the dissimilarity.
其中HSV空间更符合人眼感知色彩的方式，此空间模型具有线性伸缩性良好，色差与颜色分量在相应值上的欧几里德距离成比例等优点。
This thesis introduced RGB space, CMYK space, HSV space. All these spaces, HSV space is more suitable for human to perceive color. Also, this model has good linear scalability advantages.
其中HSV空间更符合人眼感知色彩的方式，此空间模型具有线性伸缩性良好，色差与颜色分量在相应值上的欧几里德距离成比例等优点。
This thesis introduced RGB space, CMYK space, HSV space. All these spaces, HSV space is more suitable for human to perceive color. Also, this model has good linear scalability advantages.
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