分层聚类Web搜索结果的三维可视化

Mehrnaz Sadat Akhavi, M. Rahmati, Nerssi Nasiri Amini
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引用次数: 11

摘要

语义搜索引擎的不成熟促使研究者们在传统的搜索引擎结果上应用各种新颖的后处理技术,其中聚类例程最为引人注目。虽然这些例程中的许多都集中在分层聚类上,但很少有人对这些数据进行有效的可视化。由于与2D相比,3D中观察到的信息丰富(由于其丰富的视觉线索),我们提出了一种直观的3D隐喻,用于分层聚类结果的可视化。我们的比喻是基于分形树,它通常是由线性递归算法遍历节点链接层次构造的。不同层次聚类算法的搜索结果应该被可视化为单树或森林隐喻,这是我们实现的原型中用户可定制的替代方案。在森林描述中,我们的方法甚至适用于平面聚类结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D Visualization of Hierarchical Clustered Web Search Results
The immaturity of semantic search engines has initiated researchers to apply various novel postprocessing techniques on traditional search engine results among which clustering routines are most conspicuous. While many of these routines are focused on hierarchical clustering, little has been done toward an effective visualization of such data. Due to the richness of information observed in 3D in comparison with 2D (because of its abundant visual cues), we have proposed an intuitive 3D metaphor for the visualization of hierarchical clustered results. Our metaphor is based on fractal trees which are usually constructed by linear recursive algorithms traversing node-link hierarchies. The search results of different hierarchical clustering algorithms shall be visualized as either single-tree or forest metaphors which are user's customizable alternatives in our implemented prototype. In the forest depiction, our approach is even applicable to flat clustered results.
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