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.
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。
The shape similarity-based recognition method of non-intersected primitive is proposed.
提出了基于形状相似的非相交基元体识别方法。
It presents the model and feature of content-based image retrieval system, and then discusses some methods of feature abstraction and similarity measurement based on color, texture and shape.
首先叙述了基于内容的图像检索的系统模型和特点，接着针对颜色、纹理和形状进行了概率特征提取、相似度量等的进一步具体分析讨论。
Another method is also proposed in this paper to compute partial shape similarity between two 3d models based on matching all point-to-point pairs on the surfaces.
不同于基于形状描述子的三维形状匹配方法，基于部分相似性的三维形状匹配无法回避建立两个三维模型之间的点与点对应关系。
Another method is also proposed in this paper to compute partial shape similarity between two 3d models based on matching all point-to-point pairs on the surfaces.
不同于基于形状描述子的三维形状匹配方法，基于部分相似性的三维形状匹配无法回避建立两个三维模型之间的点与点对应关系。
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