Owing to correspondence relationship between network and distance matrix, this paper puts forward a matrix solution to the above mentioned problem. 由于网络与距离矩阵的对应关系,本文将利用矩阵性质给出该问题的一个矩阵解法。
Connections Between Euclidian Distance Matrix and Positive Semidefinite Matrix Euclid was not always right. 欧几里得距离矩阵与半正定矩阵的关系欧几里德不一定全对。
The problem of information classification of dependent database containing fuzzy data is solved with the fuzzy semantic distance matrix. 并用模糊语义距离矩阵解决了含有模糊数据的相互依赖的数据库的信息分类问题。
A Note on Distance Matrix of Multiple Sequence Alignment 关于多重序列比对距离矩阵的一点注记
A topological index ( K) of square root of harmonic average based on the distance matrix, which can be used to characterize the size and branching for alkanes, is derived in this paper. 以距离矩阵为基础,建构调和均根拓扑指数(K),以表征链烷烃分子的大小和分支情况。
A new program arithmetic of building cluster dendrogram was studied. After computing distance matrix only once the key output position in the cluster dendrogram can be figured out with the designed ordering array by means of the method. 研究了一种新的聚类谱系图生成的程序算法,这种方法只需要计算一次距离矩阵,利用设计的排序数组,就可以实现谱系图中关键的输出位置计算。
The proposed algorithm includes three techniques. First, a linear array A [ N] is introduced to store the sum of every row of the distance matrix ( the same as SK), which can eliminate many repeated computations. 该算法涉及3种技术第一,引入一个线性数组A[N],用于存储距离矩阵每一行的值,以减少许多重复计算;
Distance matrix method of organic compound structure matching& computer aided structural information processing ( 3) 有机化合物结构匹配的距离矩阵法&计算机辅助有机分子结构信息处理(3)
The element of matrix in the distance matrix S_~ ij is defined and the topological index W based on the distance matrix is defined as well. 定义了矩阵元Sij和基于距离矩阵的拓扑指数W。对相邻原子,Sij相当于键参数。
A Chinese Traditional Medicine Prescription Effect Reduction Algorithm Based on Artificial Neural Network and Property Distance Matrix 基于神经网络和属性距离矩阵的中药方剂功效归约算法
Study on the improved topological index of distance matrix and its application 改进的距离矩阵指数W1~及其应用研究
Based on the shortest path problem and classical absolute center model, an algorithm of absolute center problem is discussed, by using the least distance matrix and the optimum path matrix. 在最短路算法和传统的绝对中心点模型的基础上介绍了一种利用最小距离矩阵和最优路径矩阵求取绝对中心点的算法。
The topological indexes of lube fraction n-alkanes based on distance matrix and adjacency matrix in molecular digrams were computed. The example cited was the calculation of Balaban Centric Index. 在分子图的距离矩阵和邻接矩阵基础上对润滑油馏分正构烷烃分子的拓扑指数进行了计算,并以Balaban中心指数的计算为例进行说明。
The Mahalanobis distance matrix extracted by calculating the Mahalanobis distance of each point on edge image is taken as the eigen vector of targets. 计算边缘图像上点的马氏距离,得到马氏距离阵列,并作为目标特征向量。
Improvement and Significance of the Distance Matrix Based Topological Index 基于距离矩阵的拓扑指数的修正
Analysis of Analytic Hierarchy Process from Distance Matrix 从距离矩阵看层次分析法
In this paper, the confidence distance measure is used to be fusion measure of data fusion. The useful fused data are looked for by confidence distance matrix and relation matrix. Finally, the optimal fused data are given by maximum principle and maximum likelihood methed. 本文以置信距离测度作为数据融合的融合度,利用置信距离矩阵、关系矩阵寻找多传感器的最佳融合数,并通过极值原理及极大似然法求得最优融合数据。
An Algorithm for Constructing a Molecular Distance Matrix 构造分子距离矩阵的一种新方法
Besides, by establishing vertex degree distance matrix, the traditional algorithm for MCI is simplified and the calculating efficiency, veracity, and program attainability for MCi are im-proved. 此外,通过建立点价距离矩阵,简化了传统MCI的计算方法,使MCI的计算具有效率高、不易出错等优点,便于MCI计算程序化。
First, a row code XOR distance matrix and a row code AOR distance matrix are computed in terms of the graph adjacency matrix. 首先,利用邻接矩阵生成行码距异或矩阵和行码距同或矩阵;
Making use of the information the labeled data contains, the distance matrix derived from data was modified and then the spectral clustering method was uesed to get the final clusters according to the modified distance matrix. 提出一种基于谱聚类的半监督聚类算法,其利用标签数据的信息,调整点与点之间的距离所形成的距离矩阵,而后基于被调整的距离矩阵进行谱聚类。
By the geometric principle, the distances among the vertices adjacent to the double bond were quantified, based on which a modified distance matrix ( MD) of the alkene molecular graph was constructed. 可根据几何原理计算与双键相连的顶点间的空间距离,并以此构造分子图的修正距离矩阵来区分这种差异。
So the result of humming music processing can be more accurate. ( 4) A new matching method based on edit distance matrix is presented and the similarity of pitch difference and note duration ratio between the humming segment and the database music is computed. 提出了基于校正距离矩阵的特征匹配算法,计算了哼唱音乐与数据库音乐音高差和音长比的相关度,并将结果排序后返回给用户。
Then ground distance matrix is calculated for different zones. After that the improved EMD method is used to obtain distance to complete shape matching. 然后计算出区域之间的地面距离矩阵,再根据EMD方法的推广形式得到描述子之间的距离,从而完成形状匹配。
Using this approach, networks and group of networks of different organisms are compared to each other and the resulting distance matrix is used to obtain a phylogenetic tree. 使用这样的方法,可以比较包含一类网络或一组网络的不同物种,得到的距离矩阵可以用来构建系统发生树。
The method uses the similar matrix of the whole genome instead of the evolutionary distance matrix and does not need multiple sequence alignment. 该方法用全基因组的相似矩阵代替了进化距离矩阵,不需要多序列比对。
Based on the manifold distance matrix, the Pairwise constraints were spread in the feature space by their propagation characteristics, and described by modifying the distance matrix of datasets; consequently, the application limit of AP to the clustering with constraints in practice is resolved. 在流形距离矩阵的基础上,利用成对约束的传播特性使约束在特征空间传播开来,并通过修改距离矩阵的方法将其展现,从而解决了约束条件对近邻传播算法应用的限制。
The coherence data fusion method is used in the thesis, the synthesized support levels and the fusion results can be obtained by calculating the distance matrix and the support matrix. 运用一致性数据融合方法,以距离测度作为数据融合的融合度,通过对距离测度矩阵、支持度矩阵及综合支持度的计算,给出最终的融合结果。
Furthermore two improved algorithms are also given. They can reduce the computation amount of the distance matrix for subsequence similarity search. 并进一步给出了两种优化算法,以减少子序列相似性搜索中距离矩阵需要计算的项的个数。
Nowadays, researches on similarity measurement with pairwise constraints are mainly distance metric learning based on pairwise constraints, which uses pairwise constraints to learn a distance matrix for classification or clustering. 目前基于约束的相似性度量研究主要是基于约束的距离度量学习,通过对约束信息的利用,学习一个距离度量矩阵,然后再进行分类或者聚类。