基于聚类的入侵检测方法大都是以距离差异为基础的，而同等重要地依赖所有属性的相似性度量会引起误导。
Intrusion detection methods based clustering are based on distance difference, but to depend on the similarity measurement of all attributes in the same degree tend to arouse misleading.
该方法对笔迹中局部细微结构的书写变化趋势进行描述，并采用加权距离度量方法进行笔迹相似性度量。
The proposed method depicts the writing trend of local fine structures in handwritings and USES weighted distance metrics to measure the similarity between handwritings.
简要介绍了系统相似性度量中的非平权距离系数法，并将其应用于水文计算中相似流域的选择。
The paper briefly presents the method of uneven weight distance coefficient for the measurements of system similarity and introduces it to the choices of analogy basins in hydrologic calculation.
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.
传统的K-均值算法选择的相似性度量通常是欧几里德距离的倒数，这种距离通常涉及所有的特征。
The Euclidean distance is usually chosen as the similarity measure in the conventional K-means clustering algorithm, which usually relates to all attributes.
传统的K-近邻算法选择的相似性度量通常是欧几里德距离的倒数，这种距离通常涉及所有的特征。
The Euclidean distance is usually chosen as the similarity measure in the conventional K-NN algorithm, which usually relates to all attributes.
提出了两种基于信息嫡的相似性度量方法：嫡差分距离度量和最大相关嫡度量。
We propose two methods of similarity measurement: entropy difference distance measure(ED) and maximum relative entropy distance measure(MRE) .
以豪斯多夫距离为相似性度量，提出了一种对光照及背景变化具有鲁棒性的快速准确多人脸检测算法。
This paper provides a fast and accurate algorithm of multi-face detection that is robust to the change of background and light.
在各级子序列的匹配过程中，均先以趋势相似性为标准进行粗匹配，再以价格变化率的欧式距离作为相似性度量完成进一步的细匹配。
On each level, a rough matching base on trends similarity and a precise matching based on the Euclidean distance of price change rate will be executed orderly.
用距离函数对图像的特征向量进行相似性度量，从而实现SIFT特征向量的匹配。
The distance function is used for similarity measure of image feature vector and realizes the matching of feature vector.
用加权欧氏距离进行相似性度量以提高检索性能。
Weighted Euclidean distance was used to improve retrieval efficiency.
基于产品相似度计算模型的复杂对象分解的相似性度量方法比传统距离度量方法能更准确的预测新产品的市场情况。
The decomposed similar measure method based on the telecom product similarity computing model can forecast market conditions of new product more accurate than the tradition measure methods.
基于产品相似度计算模型的复杂对象分解的相似性度量方法比传统距离度量方法能更准确的预测新产品的市场情况。
The decomposed similar measure method based on the telecom product similarity computing model can forecast market conditions of new product more accurate than the tradition measure methods.
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