Euclidean distance
英
美
网络 欧氏距离; 欧式距离; 欧几里得距离; 欧几里德距离; 欧氏距离法
双语例句
- 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。 - The Gaussian model is used to normalize the sub-characters of different images. Finally, the texture similarity between the querying image and other images is computed by the Euclidean distance.
针对特征向量进行高斯归一化，利用欧氏距离计算不同图像间的纹理相似度。 - The traditional method about KNN is generally used Euclidean distance formula to measure the distance between the two samples.
传统的KNN算法一般采用欧式距离公式度量两样本间的距离。 - 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。 - A new non-Euclidean distance was introduced to replace the Euclidean distance in the IPCM, and then a new fuzzy clustering, called novel improved possibilistic C-means ( NIPCM) clustering was proposed.
通过引入一种新的非欧式距离以替代IPCM目标函数中的欧式距离，提出了一种称为新的改进型可能C-均值聚类（NIPCM）算法。 - 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。 - 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.
通常可采用欧式距离及K均值算法进行时间序列聚类，但经分析发现单凭此方法还难以实现不同变化趋势的交通流时间序列的有效分离。 - The distance vectors are available in a distance map made by the Euclidean Distance Transform.
此一新法是由双频式测距法改良而来。 - A Hardware Algorithm for Euclidean Distance Transform Based on Binary Images
基于二值图像的欧几里德距离转换算法硬件实现 - The method of fundamental solutions ( MFS), one of the radial basis function ( RBF) methods, employs the fundamental solutions to the governing differential operator as the Euclidean distance based RBF.
基本解方法属于径向基函数类方法，它使用微分算子的基本解作为基于欧氏距离的径向基函数。 - Finally the algorithm discovers all time-series patterns by computing Euclidean distance between any two subsequences in each box.
最后通过计算每个盒子中任意两个子序列间的欧几里德距离来发现所有的模式。 - An algorithm for complete Euclidean distance tranformation based on contour tracing
基于围线追踪的完全欧氏距离变换算法 - Face Representation and Recognition Based on Image Euclidean Distance
基于图像欧氏距离的人脸描述和识别方法 - Study on Algorithm for State Prediction of Rotary Kiln Based on Euclidean Distance and Phase Plane
基于欧氏距离和相平面图的窑炉状态预测算法研究 - An Euclidean distance feature selection method in pattern recognition
模式识别中欧氏距离特征选择新方法 - Integrated Dynamic Radio Resource Management Based on Euclidean Distance Metric
基于欧氏距离度量的综合动态无线资源管理 - Distributed Grid Location Estimation Based on Euclidean Distance
基于欧氏距离的分布式网格定位估计方法 - Study on the Quality Control of Flos Chrysanthemi Indici by HPLC Chromatographic Fingerprint with Euclidean Distance
液相指纹图谱结合欧氏距离对野菊花质量控制的研究 - Cluster analysis based on Euclidean distance showed that weedy rice populations could be divided into two types: Japonica-like and Indica-like weedy rice.
采用欧氏距离对两省杂草稻进行系统聚类可以将杂草稻分为籼型和粳型。 - Numerical results show that there is no matching issue for an OOK system using binary linear block code because its bijection between Hamming distance and Euclidean distance.
结果表明，采用开关键控调制的系统，其汉明距离与欧式距离等价，因此不存在调制与信道编码参数匹配问题； - The global features and local features will be recognized and sorted by weighting Euclidean distance and the minimum distance, respectively.
通过加权欧几里德距离和最小距离分别对全局特征和局部特征进行分类识别。 - The squared Euclidean distance is observed to be the sum of weighted-chi-squared-distributed random variable.
研究发现，最大似然接收机的平方欧氏距离为加权卡方分布随机变量之和。 - BP algorithm based on neural network and "euclidean distance" criterion are adopted to recognise the images.
这种方法可以提高识别的精度和速度。对图像的识别分别使用了基于神经网络的BP算法和按欧氏距离度量的图像识别算法。 - 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。 - An improved K-means clustering algorithm is studied. Kernel function distance is used to replace Euclidean distance.
研究了一种改进的K-均值聚类算法，在求样本间距离时，采用核函数距离代替欧氏距离，考虑了各模式间的相关性。 - Euclidean distance is used as similarity measurement. Range query and k nearest neighbor query algorithms are presented.
然后用多维索引结构R树存储这些特征向量，将欧几里德距离作为相似尺度，在此基础上实现了范围查询和k近邻查询。 - Normally, the neighborhood and local structure of the data set are constructed based on the Euclidean distance.
当前的流形学习算法通常都是基于欧氏距离来构造数据的邻域和局部结构。 - This algorithm meets the users 'preferences by using the weighted euclidean distance method.
同时采用了加权欧式距离的方法，在满足用户的偏好性也进行了一定程度上的改进。 - Finally, we design and implement a medical image retrieval system based on Euclidean distance.
最后设计实现了一个基于欧式距离的医学图像检索系统。 - For gray histogram and color histogram, the retrieval performances of Manhattan distance and Euclidean distance are compared respectively.
对灰度直方图和彩色直方图，分别比较曼哈顿距离和欧氏距离在检索时的表现，以便得到最优的检索性能。