Visualization techniques for spatial probability density function data
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 co...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Ubiquity Press
2006-01-01
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Series: | Data Science Journal |
Subjects: | |
Online Access: | http://datascience.codata.org/articles/293 |