Authors: Hyeonsik Gong, Hyunwoo Han, Kyungwon Lee
Abstract: The focus of this visualization is mainly to develop an interactive and exploratory system to assist users with easily identifying the distinctive characteristics of a photo of a city uploaded to Instagram. In addition, clustering algorithms are applied in this project to group photographs based on the labels extracted from the Google Vision API. The main hexagon layout allows users to easily identify the similarities and differences among clusters. Using radar charts, users can compare the characteristics of cities or clusters and also determine an optimal algorithm for clustering photograph data. Furthermore, users can view the visuals of photos that correspond to the selected data, with clusters, hashtags, labels, and colors, which can then be used for better clustering photograph algorithms.