The purpose of this study is to propose a paradigm visualizing the viewpoints from datasets observed by multiple viewpoints, which is referred to as Latent Viewpoint Visualization (LVV). Since LVV visualizes similarity/dissimilarity among the viewpoints, it has many applications such as the authors’ perspective from news articles and the psychological measurements’ aspect from psychological surveys. In this study, we propose the concept of LVV and develop a preliminary algorithm. Furthermore, we experimentally show what kind of information can be visualized by LVV using several datasets.
CITATION STYLE
Ishibashi, H. (2018). Visualization method of viewpoints latent in a dataset. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11303 LNCS, pp. 638–647). Springer Verlag. https://doi.org/10.1007/978-3-030-04182-3_56
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