老板:浏览光学图进行相似度搜索

S. Brecheisen, H. Kriegel, Peer Kröger, M. Pfeifle, Maximilian Viermetz, Marco Pötke
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引用次数: 6

摘要

越来越多的数据库应用程序已经出现,对相似度搜索的高效和有效支持是重要的。特别是,在二维和三维中寻找相似形状的任务变得越来越重要。需要检索类似3D对象的新应用示例包括分子生物学、医学成像和计算机辅助设计的数据库。层次聚类被证明是评估相似模型的有效方法。此外,可视化地分析聚类层次结构可以帮助用户(例如工程师)找到并分组相似的对象。我们提出了一种交互式浏览工具BOSS(浏览OPTICS-plots for similarity search),它利用实体自动聚类识别和提取有意义的聚类代表来为用户提供有意义和快速的信息。
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BOSS: browsing OPTICS-plots for similarity search
An increasing number of database applications have emerged for which efficient and effective support for similarity search is substantial. Particularly, the task of finding similar shapes in 2D and 3D becomes more and more important. Examples for new applications that require the retrieval of similar 3D objects include databases for molecular biology, medical imaging and computer aided design. Hierarchical clustering was shown to be effective for evaluating similarity models. Furthermore, visually analyzing cluster hierarchies helps the user, e.g. an engineer, to find and group similar objects. We present an interactive browsing tool called BOSS (browsing OPTICS-plots for similarity search), which utilizes solid automatic cluster recognition and extraction of meaningful cluster representatives in order to provide the user with significant and quick information.
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