• Validating and Refining Clusters via Visual Rendering 

      Chen, Keke; Liu, Ling (Georgia Institute of Technology, 2003)
      Clustering is an important technique for understanding of large multi-dimensional datasets. Most of clustering research to date has been focused on developing automatic clustering algorithms and cluster validation ...
    • Vista: Looking Into the Clusters in Very Large Multidimensional Datasets 

      Chen, Keke; Liu, Ling (Georgia Institute of Technology, 2002)
      Information Visualization is commonly recognized as a useful method for understanding sophistication in large datasets. In this paper, we introduce an efficient and flexible clustering approach that combines visual clustering ...
    • Visualize It-Wise! An Iteration-Wise Computational Framework for Real-Time Visual Analytics 

      Choo, Jaegul; Lee, Changhyun; Park, Haesun (Georgia Institute of Technology, 2013)
      Abstract Visual analytics has been gaining increasing interest due to its fascinating characteristic that leverages both humans’ visual perception and the power of computing. Although various computational methods are ...