由于基因表达谱非线性的特点，普通的欧几里得距离无法很好地表示基因之间的相似性度量。

As the gene expression data owns the characteristics of nonlinear and high noise, normal Euclidean distance can not represent the similarity measurement between genes.

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介绍了基于内容图像检索中多种颜色的特征提取和匹配算法，以及加权欧几里得距离、中心距的加权距离、直方图交集算法等。

Introduces color feature extraction and matching algorithms in content-based image retrieval, such as weighted Euclidean-distance, weighted centre distance, histogram intersection algorithm, etc.

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本文首先简单介绍了目前常用的两类分子空间结构相似性比较方法，一类是基于欧几里得几何距离的，另一类是基于特征相关性的。

This paper briefly introduces two classes of methods for molecular 3D structure comparison, one is based on Euclidean distances, and another is based on relativity of properties.

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