Simultaneous Interaction with Dimension Reduction and Clustering Projections

被引：1
|
作者：
Wenskovitch, John [1 ]
Dowling, Michelle [1 ]
North, Chris [1 ]
机构：
[1] Virginia Tech, Blacksburg, VA 24061 USA
来源：
PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES: COMPANION (IUI 2019) | 2019年
关键词：
Dimension reduction; clustering; interaction; visual analytics;
D O I：
10.1145/3308557.3308718
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Direct manipulation interactions on projections are often incorporated in visual analytics applications. These interactions enable analysts to provide feedback to the system, demonstrating relationships that the analyst wishes to find within the projection. However, determining the precise intent of the analyst is a challenge; when an analyst interacts with a projection, the system could infer a variety of possible interpretations. In this work, we explore interaction design considerations for the simultaneous use of dimension reduction and clustering algorithms to address this challenge.
引用
收藏
页码：89 / 90
页数：2
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