Method for Improving RadViz’s Navigation Function Based on Focusing and Filtering

Hyunwoo Han, Taerin Yoon, Hyoji Ha, Juwon Hong, Kyungwon Lee · 2018

For user to analyze large data set with various attributes as desired, rearranging data based on purpose is vital. This study proposes a method to navigate data with a desired purpose of user by improving RadViz visualization through focusing and filtering. To help understand visualization, user studies were conducted using the music data of Spotify. As a result, our system is discovered to be effective at classifying large data set of music with attributes and navigating desired music efficiently.

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