方法将色谱指纹图谱看作多维空间内的向量，利用向量夹角余弦的基本公式计算两个指纹图谱间的相似度；
METHODS Chromatogram can be treated as vector of hyperspace, and the similarity between them can be counted according to vectorial angle formula.
在网络信息检索中，基于文档向量空间的分类、聚类、排序与相关性反馈需要计算相似度。
In network information retrieval, based on document vector space, class, cluster, ranking and relevance feedback need to compute similarity.
相关语句抽取部分的相似度计算使用了N元模型和向量空间模型。
In candidate sentences selection module, the methods we used to compute the similarity between sentences and query are N-gram modal and Vector Space modal.
过滤过程则将新进来的邮件分别与四个小类的类中心向量进行相似度比较，最终来判定所属类别。
When filtering, the new E-mail was compared with four center vectors respectively to decide which class it belonged to.
为此，改进了传统KNN算法，将训练文本中相似度大的文本合并，称为一簇，并计算簇的中心向量。
So, the traditional KNN arithmetic, clusters training document with highly overlapping word is improved, central vector of cluster is gained.
将HPLC指纹图谱看作多维空间内的向量，利用向量夹角余弦的基本公式计算两个指纹图谱间的相似度。
HPLC curves was treated as vector of hyperspace, the similarity between them was calculated by using the cosine value of the Angle between them.
用骨架语片做特征项，用空间向量模型表示文本语义，用语片的出现频度做语片权重，用余弦法计算文本间语义相似度。
Computing the semantic similarity of sentences by the method of cosine, eigenvalue come from the skeleton semantic clip, and the semantics of sentence expressed the vector space model.
在信息匹配算法方面，通过计算文档向量之间的相似度，实现网络信息的有效过滤。
Finally, an algorithm for computing document similarity is presented, which filters abnormal information more efficiently.
本文以汉字的字频向量作为语体类别的表示方法，通过计算类别向量与文本向量的相似度来确定文本的类别。
The method USES Chinese character frequency vector to represent categories and texts, and computes the comparability between categories and texts to predict the category.
由于词序相似度是影响简拼搜索排序结果的主要因素，该文提出了基于向量距离计算词序相似度的算法。
Since word order similarity is the main factor to the ranking results, an algorithm based on vector distance is devised to compute word order similarity in this paper.
本文就基于向量的相似度计算方案进行探讨，并论述了相似度在文档分类、聚类、排序与相关性反馈中的应用。
This paper explores vector-based similarity computing scheme, and discusses the application of similarity in class, cluster, ranking and relevance feedback.
通过计算各指标特征向量与系统综合指标向量的相似度并将其归一化处理进而得出了指标权重。
By calculating vector resemblance-degree of index vector and the system integrative vector then standardize it the index weight is obtained.
通过沿时间轴对采样信号加窗的方式构造向量集合，利用余弦相似度进行向量间亲合度的匹配计算，实现在实数域进行匹配计算的实数值负向选择算法。
The matching affinity between two vectors was measured using cosine similarity to develop a real-valued negative selection algorithm with the matching calculation in the real domain.
然后综合两个特征向量的距离计算总的相似度。
该方法监测系统资源使用情况，通过调整新闻时间窗口、文档向量维度和用户模型关键词维度的方式来动态调整相似度计算的运算量。
It monitors the free resource of the system and adjusts a sliding time window on news stream accordingly. This way, the dimensions of document vector and user profile vector change dynamically.
采用向量相似法计算了陈醋和白醋以及同一种类不同品牌食醋的相似度；
The similarity of Chencu and Baicu as well as different brands of vinegar samples of the same kind was calculated by vector similarity analysis.
该 算法利用查询模型计算各种特征向量的先验知识，然后动态地选择描述能力较强的特征向量计算模型之间的相似度距离。
The query model first calculates the prior knowledge of the feature vectors and then dynamically chooses the feature vector with the best description.
该部分通过抽取网页的特征项，形成文本向量，然后与中心向量进行相似度计算后，根据相似度的结果来对网页进行自动分类。
After calculate the text vector and main vector, the system will judge which kind the page is by the result of calculation.
通过向量空间模型计算网页与主题特征向量之间的相似度，并考虑了关键词的位置权重。
The VSM method is proposed to calculate the topic relevance, and the keywords are considered to set different weight values in different parts of page.
通过向量空间模型计算网页与主题特征向量之间的相似度，并考虑了关键词的位置权重。
The VSM method is proposed to calculate the topic relevance, and the keywords are considered to set different weight values in different parts of page.
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