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1·This paper presents a direct clustering method through Fuzzy similarity matrix.

给出了一个利用模糊相似矩阵直接进行聚类的方法。

2·CONCLUSION: The methods introduced apply very generally, to any similarity matrix describing gene expression.

结论：介绍的方法对描述基因表达的任何相似矩阵都非常普遍地适用。

3·In the full image search and local search, the similarity matrix is introduced to help matching faces efficiently.

在全图搜索和邻域搜索中，提出了人脸相似度矩阵以进行有效的搜索。

4·Comparison among all possible a pair of data were calculated to produce non-similarity matrix and to build up a pedigree tree.

扩增产物间的成对比较可产生非相似性矩阵，此矩阵用于构建遗传相似性的树状系谱图。

5·The similarity matrix correlation analysis showed that the result of 20 ~ 25 SSR loci was significantly correlated with that of 53 SSR loci.

经相似系数矩阵分析，发现用20 ~ 25对引物进行分析与用53对引物的分析结果可达极显著相关。

6·This paper obtained the following results: a simple solution for the similarity matrix under a similarity transformation is obtained by using a matrix polynomial.

本文得到下列结果：通过应用矩阵多项式，得到一个相似变换下变换矩阵的简便解法。

7·The semantic relationships between multi-context key words are taken into account and the fuzzy similarity matrix is derived from non-distance computing in this method.

该方法不仅考虑了多背景关键词之间的语义关系，而且通过非距离计算得到模糊相似矩阵。

8·Based on the improved SNN similarity matrix and spectral bisection method, this paper proposed a new algorithm for detecting the community structure in complex networks.

基于改进的SNN相似度矩阵与谱平分法，提出了一种寻找复杂网络社团结构的算法。

9·Based on the IO table of year 1997, 2002 and 2007, this paper calculate the industries' similarity matrix and conceive a new variable measuring the inter-industry technology spillover.

内容提要本文利用中国1997年、2002年、2007年投入产出表，测算了35个工业部门1997—2008年历年的产业相似度矩阵，并以此为权数构建了衡量产业间技术溢出的指标。

10·In the cluster analysis, the correlation matrix or the similarity matrix is directly used to make classification, but there is contradiction in itself, and paradox also occurs in the classification.

聚类分析直接利用相似矩阵或相关矩阵来分类，但它们本身存在矛盾，分类时也会出现矛盾。