similarity matrix meaning in Chinese
相似矩阵
Examples
- And then , a novel simility measure called topology similarity is proposed in the paper . a clustering model is built based on this simility measure , which take good use of the concept , topology similarity matrix
再次,论文提出一种新的相似性度量标准:拓扑相似性,使用该相似性标准为聚类问题建立数据模型,并建立拓扑相似性矩阵表示该模型。 - Thirdly , similarity matrix , dissimilarity matrix or similarity table are established based on the n - strong peaks , the overlap rate of common peaks and the cosine / sine of vectors " angle which are derived from the fingerprint chromatograms of samples . and based on these data model , clustering research has been done by k - means algorithm , biggest tree in fuzzy clustering and improved cobweb algorithm , where different results have been gained . by comparing , cobweb algorithm is the best
本次研究利用n强峰、共有峰的重叠率和向量夹角正余弦值对样品色谱指纹图谱分别建立了相似度矩阵、相异性矩阵或相似度表，以这些数据模型为基础，分别用了k -平均、模糊聚类的最大树法和改进的cobweb法进行了聚类研究，得到了不同的效果。 - 3 . according to the spline theory we presented a shape matching algorithm based on the similarity matrix of curvature and torsion values of 3d curve , we reduced the 3 - d curve matching task into a 1 - d string matching problem , which makes the matching more veracious and can be used on the 2d or 3d curve matching . in order to reduce the cost of matching , we used multiple scale technique
依据样条曲线的基本理论，研究了基于b样条的轮廓曲线的匹配方法，给出了由轮廓曲线不变量曲率和挠率构造的相似不变量的选取以及基于相似矩阵的匹配算法，并对该算法的时间复杂度作了估计，同时，将多尺度技术引入到物体轮廓的匹配问题中。 - Sixties primers were used for dna amplification and a total of 237 amplification products range from 450bp to 2500bp were generated . a similarity matrix for all pairwise comparisons was calculated using nei and li ' s formula and then transformed to distance matrix . dendrograms were constructed by applying unweighted pair - group arithmetic average ( upgma ) and neighboring - jointing cluster analyses using the phylip software
在第二部分，应用改进的ctab法提取了石莼属和浒苔属各3个种及作为对照的刚毛藻的基因组dna ， 60个引物被用于扩增，共获得237个片段大小在450 - 2500bp之间的扩增片段，依据nei和li ( 1979 )的公式计算出样品成对比较的相似性距阵并换算成遗传距离，应用phylip软件包，按照upgma法和n - j法分别构建聚类图。