Visualization techniques for spatial probability density function data

スポンサーリンク

概要

• 論文の詳細を見る

• Novel visualization methods are presented for spatial probability density function data. These are spatial datasets, where each pixel is a random variable, and has multiple samples which are the results of experiments on that random variable. We use clustering as a means to reduce the information contained in these datasets; and present two different ways of interpreting and clustering the data. The clustering methods are used on two datasets, and the results are discussed with the help of visualization techniques designed for the spatial probability data.

著者

• Kao David

  NASA Ames Research Center

• Shen Han-Wei

  Dept. of Computer and Information Sciences, The Ohio State University

• Bordoloi Udeepta

  Dept. of Computer and Information Sciences, The Ohio State University

関連論文

• Visualization techniques for spatial probability density function data

スポンサーリンク