I have used Euclidean Distance but you could use any.
我用欧氏距离，但你可以使用任何。
Euclidean distance was used to recognize and analyze unknown samples.
采用欧氏距离对未知样品进行判别分析。
Weighted Euclidean distance was used to improve retrieval efficiency.
用加权欧氏距离进行相似性度量以提高检索性能。
The result using GTI model is somewhat inferior to Euclidean distance.
使用GTI模型的结果比欧氏距离的要差。
Finally, weighted Euclidean distance classifier is utilized in recognition.
最后利用加权欧氏距离分类器进行识别。
Finally, weighted Euclidean distance classifier was utilized in recognition.
最后利用加权欧氏距离分类器进行识别。
In the process of pattern recognition, we use Euclidean distance formula to classify sample.
在模式识别过程中，通过欧式距离将样本分类。
It has been proved that this distance measure is more efficient than the Euclidean distance.
实验证明，这种距离测量方式要比欧氏距离测量方式更有效。
During the recognition phase, Euclidean Distance representing VQ distortion in this project is calculated.
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。
A new method of the color image Mosaic is presented based on the net template and the least Euclidean distance criteria.
提出一种结合网格模板和最小欧式距离准则的图像自动拼接方法。
Float vector based image feature has high dimension and usually makes use of Euclidean distance as its similarity definition.
浮点矢量图像特征维数较高，且通常以欧氏距离作为矢量之间的相似度定义。
I defined weights for each pair of cities as a function of the Euclidean distance between them and the number of friends between them.
我是这样进行定义的：将城市之间的欧式距离和城市之间的好友数量都作为一个函数进行权重分析，然后根据权重值在两市之间绘制标线。
This method established a new kind of relative similarity degree by combining the Euclidean distance with grey correlation degree.
该方法将欧氏距离和灰色关联度有机结合，构造了一种新的相对贴近度以实现对方案的评价。
The Euclidean distance of singular values is used as the measurement of similarity between two gray charts, realizing fault diagnosis.
应用奇异值欧氏距离作为两幅图像相似程度的度量尺度从而实现轴承的故障诊断。
The Euclidean distance is usually chosen as the similarity measure in the conventional K-NN 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 error performance of continuous phase modulation (CPM)with optimal coherent detection depends on its minimum squared Euclidean distance(MSED).
连续相位调制的最佳相于解调的误码性能取决于其最小平方欧氏距离。
To reduce the computation time, a new 3d Euclidean distance transformation algorithm was adopted to compute the distance map of the medical image.
在距离变换阶段，该方案采用了一种新的三维欧氏距离变换算法，在保证距离测量精度的同时缩短了运算时间。
The error performance of continuous phase modulation (CPM) with optimal coherent detection depends on the minimum squared Euclidean distance (MSED).
连续相位调制(CPM)的最佳相干解调的译码性能取决于其最小平方欧氏距离。
Then a fast measurement was achieved by calculating the Euclidean distance between points. 3 Constructing the knowledge base and inference strategy.
采用空间点到点欧氏距离公式实现特征点处软组织厚度的快速测量。3颅面复原知识库构建及知识推理策略制定。
Given the vectors, one can calculate the distance between two items using measures such as the Manhattan distance, Euclidean distance, or cosine similarity.
通过矢量，开发人员可以使用各种指标(比如说曼哈顿距离、欧氏距离或余弦相似性)来计算两个项目之间的距离。
As an example, we calculate the Euclidean distance spectrum of error paths under viterbi decoding and BER upper bound for four-state Trellis-coded 8 PSK.
以四状态网格编码8PS K系统为例，计算了维特比译码时错误路径的欧氏距离谱及由此得到的误比特率上限。
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-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。
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.
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。
On each level, a rough matching base on trends similarity and a precise matching based on the Euclidean distance of price change rate will be executed orderly.
在各级子序列的匹配过程中，均先以趋势相似性为标准进行粗匹配，再以价格变化率的欧式距离作为相似性度量完成进一步的细匹配。
The fuzzy similarity between two samples is mapped into their Euclidean distance, that is, the high dimensional samples are mapped into the two dimensional plane.
同时将样本之间的模糊相似性映射到样本之间的欧氏距离，即将高维样本映射到二维平面。
We employ this method to extract the features of such texture image and use weighted Euclidean distance classifier to fulfill the matching and identification task.
用该方法提取纹理图像的特征，并使用加权欧式距离分类器来完成匹配工作。
As the gene expression data owns the characteristics of nonlinear and high noise, normal Euclidean distance can not represent the similarity measurement between genes.
由于基因表达谱非线性的特点，普通的欧几里得距离无法很好地表示基因之间的相似性度量。
The performance of Euclidean Distance is inferior to Wavelet Transform, but using much less time, Maximal Distance gets the worst result , while taking the least time.
欧氏距离法的重建效果比小波变换法要差一些，所用时间比小波变换法要少的多；
For the anomaly detection in the vibration time series of the rotor system, a real-valued negative selection algorithm based on Euclidean distance has been implemented.
针对转子振动时间序列中异常数据的检测问题，采用欧氏距离进行匹配计算，在实数域实现了负向选择算法。
For the anomaly detection in the vibration time series of the rotor system, a real-valued negative selection algorithm based on Euclidean distance has been implemented.
针对转子振动时间序列中异常数据的检测问题，采用欧氏距离进行匹配计算，在实数域实现了负向选择算法。
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