根据平均纹理相似度判断输入图像与模型视图间的相似程度。
Average texture similarity is constructed to gauge degree of similarity between model views and target images.
采用亮度相似性和对比度相似性量化估计图像与目标图像间的相似程度。
Similarity in brightness and similarity in contrast are used to gauge the degree of similarity between the estimated images and target images.
程序代码相似度识别是利用一定的检测手段度量两个程序代码间的相似程度。
Identifying program code similarity is to measure similar degree between two program codes with a kind of detection method.
聚类问题作为一种无监督的学习，能根据数据间的相似程度自动地进行分类。
As an unsupervised learning technique, dustering is a division of data into groups of similar objects.
系统允许用户调整权重，在源五官与目标五官间进行插值，控制结果图像与二者的相似程度。
Our system allows users to adjust the interpolation weights between source image and target image to control the similarity degree.
利用聚类分析方法对给定数据进行分类时，所采用的样品并不知道其所属类型，而根据样品间的“相似”程度来自动地进行分类。
When we utilize this method to classify the given data, though we don't know the type of adopted sample, it will classify the samples automatically according to their similar stage.
人工禾草群落间优势种群的重叠程度越大，群落的相似程度越高。
The similarity of different communities increased with the overlap extent of the grass compositions of the communities.
两个群体间的相似性系数高达0.9187，彼此间的遗传距离仅为0.0848，体现出两个人工选育群体的遗传分化程度较低。
Nei's genetic identity and genetic distance between the two populations were 0.9187 and 0.0848, respectively, which indicated low genetic differentiation between the two populations.
TCU SS算法利用两个概念列表中单词间的语义相似度作为文档间相近程度的度量，并以图为基础进行聚类分析，避免有些聚类算法对聚簇形状的限制。
TCUSS algorithm measures the document similarity by semantic similarity of concepts in concept lists, then clusters the document based on graph analysis, thus avoiding the restrict of clusters shape.
菌系间的遗传相似系数变化在0.45 ~ 0.93之间，多数菌系间的同源程度较低。
Genetic similarity coefficients within the isolates were among 0.45 ~ 0.93, there existed a low degree of homogeneity between most of them.
但交互式遗传算法存在的主要问题是：当遗传操作的收敛速度慢时，用户需对大量个体进行评估，尤其是在个体间相似程度较高时，容易产生疲劳现象。
However, an existing significant problem for IGA is that users have to evaluate a large number of individuals when the convergence speed of genetic operations is too slow.
但交互式遗传算法存在的主要问题是：当遗传操作的收敛速度慢时，用户需对大量个体进行评估，尤其是在个体间相似程度较高时，容易产生疲劳现象。
However, an existing significant problem for IGA is that users have to evaluate a large number of individuals when the convergence speed of genetic operations is too slow.
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