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euclidean distance中文是什么意思

  • 欧几里德度量
  • 欧几里德规则
  • 欧几里德距离
  • 欧几里得距离
  • 欧式距离
  • 欧氏距离

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  • 例句与用法
  • The analysis of the relative importance of components of mfcc for both speech recognition and speaker recognition using dtw recognizer in various noise environments are given . for english digit and under the euclidean distance definition , the experiment results show cepstral components from
    采用增减特征分量的方法研究了mfcc各维倒谱分量对说话人识别和语音识别的贡献。使用dtw测度,在标准英文数字语音库上的实验表明,最有用的语音信息包含在mfcc分量
  • General method of similar sequence mining based on time series is to transform time series into discrete character series and cluster them into different sets , then compute the euclidean distance between querying series and these sets to measure their similarity
    摘要时间序列数据库中相似子序列的搜索,常用滑动窗口、分形插值逼近等方法将时间序列分割成各子序列,线性拟合各分段子序列,计算查询序列与各子序列的欧氏距离,满足距离阈值条件的为相似子序列。
  • We choose 80 vectors of 40 channels and save them in handwriting database . ( 5 ) we use a weighted euclidean distance ( wed ) classifier and k - nearest neighbor ( k - nn ) classifier to fulfill the identification task . the eigenvectors are recorded in different handwriting database with text format
    ( 5 )论文对笔迹图像分类器进行了设计,通过加权欧式据立法和k -近邻算法对笔迹样本进行分类匹配,将训练后的80维特征向量以纯文本格式保存于不同的笔迹模式库中。
  • As a research trial for this thesis , we designed a real circuit based on cpld ( complex programmable logic device ) by vhdl ( very high speed integrated circuit hardware description l anguage ) for the hardware algorithm for euclidean distance transform with multilayer design method , called top - to - down
    一down )的方法,设计了一个基于复杂可编程逻辑器件cpld ( co哪lexprogammablelogiedeviee )的基本电路,用以验证基于硬件的欧几里德距离转换算法的各项性能。
  • In order to assess the performance of the proposed methods , we propose three types of image measures to quantify the performance compared to some other methods . the first type evaluates the fidelity of the reconstructed image by computing the peak signal - to - noise ratio and euclidean distance in cielab color space between the original and reconstructed image in smooth and edge regions respectively . the second type accounts for a major artifact ? zipper effect
    为了评估算法质量,本文采用了三类评估手段:一是分别计算原始图像与重构图像在平滑区域与边界区域的峰值信噪比与cielab颜色空间的欧氏距离来分析重构图像的保真度;二是利用数学手段对重构图像的一类主要失真现象? ? zipper效应进行定量评估;三是对硬件实现的成本与实际可行性进行了分析。
  • Secondly , the effect of distance function for clustering performance is researched , the disadvantages of euclidean distance for part family formation are pointed out , a more suitable part - machine processing feature related distance function is put forward , with which the clustering errors for parts and machines are basically eliminated
    第二,深入研究了距离函数对fcm聚类性能的作用,指出欧几里德距离函数对于制造单元构建问题的不足,提出了更加符合成组技术需要、反映问题本质特征的距离函数,解决了fcm对具体零件和设备的聚类错误问题。
  • According to the virtual endoscopy automatic navigation , using the two - distance field - based 3d center path finding algorithm to find the path , adopting the cylindrical approximation of tubular organs to replace the center path by several approximate cylinders , while using distance transformation that is substituted by euclidean distance to calculate the approximate cylinder ' s axis and radius , the algorithm can save much time
    摘要针对虚拟内窥镜自动漫游技术,利用基于双距离场的三维中心路径提取算法进行路径提取,采用管状器官的圆柱状近似,将中心路径用多个近似的圆柱体代替,用距离变换代替欧式距离公式计算近似圆柱体的轴和半径,节省了大量的计算时间。
  • In these methods , relativity degree solution is the method in which an ideal solution is established , the relativity degrees of evaluated solutions and the ideal solution are compared and orders are marshaled at last . affiliation degree solution is the solution in which ideal solution and ill - ideal solution are established , affiliate degrees between evaluated solutions and ideal solution are resolved by establishing a goal function and then orders of all solutions are marshaled according to measurements of affiliation degrees . gross profit solution is the solution in which both ideal solution and ill - ideal solution are considered , the differences between evaluated solutions and them a re measured according to n - dimension euclidean distance , and then gross profits are calculated
    其中关联度法是首先确立一个理想方案,然后比较待评估方案与理想方案的关联度,最后根据其大小对各待评估方案进行排序;优属度法是首先确立理想方案和负理想方案,然后把各待评方案与理想方案和负理想方案的优属度为权建立一个目标函数,进而求出各待评方案与理想方案的优属度,最后根据优属度的大小对各方案进行排序;总效用法的思想是同武汉理工大学硕士学位论文时考虑理想解与负理想解二者作为参照基准,并采用n维欧几里德距离来度量任意可行解(被评估方案)与理想方案及负理想方案之间的差异,然后指导两个差异结合在一起计算被评估方案的总效用,评估的原则是总效用越大越好;嫡本是物理学中的概念,在信息理论中被借用来作为度量权重的一种方法,但也可用来评估各方案的优劣,其评估原则是嫡值越大越好。
  • The sticking point is when getting the wavelet modulus maximum , setting a limit value , only those larger than the limit value can be recorded , and the limit value is dynamic . so the remaining wavelet modulus maximum can best display the important characters of the image . after compute the seven invariant moments through using the wavelet modulus maximum of the image , similarity is given by the euclidean distance between two images " normalized moment vectors
    改进之处主要在于,在求取不同分辨率下的模极大值时,设定一个阈值,只留下当前尺度(分辨率)下模极大值大于阈值的那些模值,而且随着分辨率的增加,阈值不断的改变,这样就可以在求得的高分辨率的模值图像中过滤掉低分辨率下的已经使用过的信息,从而使模值能够充分描述图像的重要特征,然后利用多尺度下的模值求出七个不变矩,并进行归一化,采用图像特征向量归一化的结果计算欧氏距离来表示两幅图像的相似度。
  • The paper studies composition of grasshopper community in different habitats , found that differences in family , genus and species and analyzed the causes of those . the author analyzed the following aspects by spss software and the measure of euclidean distance : ( 1 ) analyzed the relationship between grasshopper species and geographical distribution and divided 9 forestry belt into 3 main habitat model : low mountain conifer and broadleaf integrated forestry belt ; low mountain chanbai conifer forestry belt and middle - high conifer - betula ermam / - tundra belt ; adopted sum of deviation of square to clustered ecological species groups , and thus divided 48 grasshopper species into 3 main category , 12 ecological species groups
    在长白山地区蝗虫生态分布特点的研究中,主要应用spss软件包、采用euclideandistance测度法对以下两方面内容进行了分析: ( 1 )对长白山地区蝗虫地理分布关系进行了分析,将长白山9个林带划分为三大生境型:低山针阔叶混交林带、低山长白松林带和中高山针叶?岳桦?苔原复合体; ( 2 )利用离差平方和法对生态种组进行等级聚类,结合实地调查结果,将48种蝗虫划分为三大类12个生态种组。
  • 更多例句:  1  2  3  4
  • 百科解释
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.
详细百科解释
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Last modified time:Wed, 13 Aug 2025 00:29:56 GMT

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