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Apparatus and accompanying methods for visualizing clusters of data and hierarchical cluster classifications

机译:用于可视化数据集群和分层集群分类的设备及其伴随方法

摘要

A system that incorporates an interactive graphical user interface for visualizing clusters (categories) and segments (summarized clusters) of data. Specifically, the system automatically categorizes incoming case data into clusters, summarizes those clusters into segments, determines similarity measures for the segments, scores the selected segments through the similarity measures, and then forms and visually depicts hierarchical organizations of those selected clusters. The system also automatically and dynamically reduces, as necessary, a depth of the hierarchical organization, through elimination of unnecessary hierarchical levels and inter-nodal links, based on similarity measures of segments or segment groups. Attribute/value data that tends to meaningfully characterize each segment is also scored, rank ordered based on normalized scores, and then graphically displayed. The system permits a user to browse through the hierarchy, and, to readily comprehend segment inter-relationships, selectively expand and contract the displayed hierarchy, as desired, as well as to compare two selected segments or segment groups together and graphically display the results of that comparison. An alternative discriminant-based cluster scoring technique is also presented.
机译:包含交互式图形用户界面的系统,用于可视化数据的群集(类别)和段(摘要的群集)。具体来说,系统会自动将传入的案例数据分类为群集,将这些群集汇总为段,确定这些段的相似性度量,通过相似性度量对所选段进行评分,然后形成并直观地描绘这些所选聚类的层次结构。该系统还根据段或段组的相似性度量,通过消除不必要的层次级别和节点间链接来自动,动态地减少层次结构组织的深度。还对趋于有意义地表征每个段的属性/值数据进行了评分,并根据归一化的评分对它们进行排序,然后以图形方式显示。该系统允许用户浏览层次结构,并容易理解片段之间的关系,根据需要有选择地扩展和收缩显示的层次结构,以及将两个选定的片段或片段组一起比较并以图形方式显示结果比较。还提出了另一种基于判别的聚类评分技术。

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