Interactive High-Dimensional Data Analysis Using The "Three Experts"

نویسندگان

  • Georg Albrecht
  • Alex T. Pang
چکیده

With the increasing availability of data from various domains such as health care, finance, social networks, etc. there is a need to provide analytic tools that are more accessible to lay people. In this paper, we present a software tool which can be used to aid inexperienced users in understanding high dimensional data. To facilitate the understanding of such data, we place special emphasis on how the data is presented, using the “Three Experts”. The Three Experts display shows the results of three different dimension reduction techniques, similar in notion to seeking several expert opinions on a particular topic. This will help the user to discern between pertinent structures in the data, and those resulting from distortions inherent in dimension reduction. The second emphasis is on providing the ability for users to insert and manipulate new points within the data, as well as observe high dimensional trajectories to convey positional displacement of points. Observing these changes will enable the user to develop an actionable intuition for the data in question. These methods could be used in any field where high dimensional numeric data needs to be analyzed, with potential benefits for both novice and expert

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تاریخ انتشار 2016