Hierarchy-based projection of high-dimensional labeled data to reduce visual clutter

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• 作者：Dominik Herr^a ; ^b ; ^{dominik.herr@vis.uni-stuttgart.de} ; Qi Han^a ; ^{qi.han@vis.uni-stuttgart.de} ; Steffen Lohmann^c ; ^{steffen.lohmann@iais.fraunhofer.de} ; Thomas Ertl^a ; ^{thomas.ertl@vis.uni-stuttgart.de}
• 关键词：Projection visualization ; Information search and retrieval ; Clustering ; Visual analytics
• 刊名：Computers & Graphics
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：62
• 期：Complete
• 页码：28-40
• 全文大小：1614 K
• 卷排序：62

文摘

We present an approach to reduce the visual clutter of two-dimensional projections. The user can analyze the relationship of clusters on user-defined levels of detail. This extended paper adds a magic lens and a user study to evaluate the approach.