Information visualization using the Weibull distribution
Conference proceedings article
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Publication Details
Author list: Mongkolnam P.
Publisher: Hindawi
Publication year: 2010
Volume number: 2
Start page: 51
End page: 54
Number of pages: 4
ISBN: 9781424455386
ISSN: 0146-9428
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
Abstract
Visualization has been around for more than two decades. Various techniques have been proposed, and some have found their fitting places in many applications in documentation visualization, scientific visualization, etc. To our knowledge, no one has applied the Weibull distribution's probability density functions whose flexibility lies in their adjustable shape and scale parameters to the information visualization. It is known that the different shapes and scales of the probability density functions could statistically model and effectively represent underlying data. Most data could approximately be modeled by the functions, their translations their reflection symmetries, or a combination of them. We therefore, explore the potential of the visualization technique which is based on the Weibull distribution's probability density functions. ฉ 2010 IEEE.
Keywords
Information exploration, Information visualization, Multiresolution, Probability density function, Visual analysis
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