新算法定义了一个区间相似度函数，用该区间相似度函数作为离散化过程的新的合并标准。
The new algorithm defines a interval similarity function which is regarded as a new merging standard in the process of discretization.
通过查找“相似汉字表”解决部分输入错误的问题，计算相似度函数判断被比较的记录是否是重复记录。
Solving the input mistakes by looking up the "Similarity Chinese Characters Table" and the similarity function which was used to determine whether two records were duplicate or not.
为了在该情况下进行实例匹配，基于隶属度和贴近度的概念，构造了靶实例与基实例的模糊相似度函数，从而以统一形式同时处理上述两类数据。
In order to match the case in this situation, a fuzzy similarity function between case-target and Case-base was constructed based on the conception of membership degree and closeness degree.
通过对模糊c均值算法聚类特性的分析，引入了约束函数及模式相似度的概念，提出了改进的FCM算法。
With the clustering feature analyzed, restrained function and pattern similarity are introduced. Then the algorithm of improved FCM is presented.
在文献中和互联网上有各种形式的称为谷本相似度和谷本距离的函数。
Various forms of functions described as Tanimoto similarity and Tanimoto distance occur in the literature and on the Internet.
为了使相似性衡量尺度与样本特征的分布特点相适应，提出利用相似度分割特征集的混合核函数构造方法。
In order to adjust the similarity metrics to the distribution of the feature, a kernel function construction based on feature set division is proposed.
本文提出了以信任度、可能性测度、权重有隶属函数概念作为模糊相似性匹配的基础来检索图像的方法。
In this paper, we put forward the concept of belief measure, possible measure, membership function and weight as the base of fuzzy similarity match, with these functions we can retrieve images.
利用转化程度函数对历史数据进行预处理，找到与当前数据窗口相似度超过特定阈值的历史数据窗口。
The Conversion Degree Function is used to preprocess the stock market historical data and try to find the very window section whose similarity exceeds the special threshold.
另一方面，对线性融合后的特征，利用距离测度学习算法从图像训练集中学到一个距离函数以更恰当的反映图像内容间的相似度。
On the other hand, a proper distance metric, which reflects the semantic similarity between images, is obtained by using a distance metric learning algorithm.
由频域函数、亮度函数和对比度函数计算得到结构相似度。
The structural similarity is calculated using the frequency domain, the brightness, and the contrast functions.
赋值密度函数概率真度推理规则相似度伪距离。
Valuation density probability truth degree inference rule similarity degree pseudo-distance.
赋值密度函数概率真度推理规则相似度伪距离。
Valuation density probability truth degree inference rule similarity degree pseudo-distance.
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