Parallel clustering for visualizing large scientific line data

Scientists often need to extract, visualize and analyze lines from vast amounts of data to understand dynamic structures and interactions. The effectiveness of such a visual validation and analysis process mainly relies on a good strategy to categorize and visualize the lines. However, the sheer siz...

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Bibliographic Details

Published in:	2011 IEEE Symposium on Large Data Analysis and Visualization pp. 47 - 55
Main Authors:	Jishang Wei, Hongfeng Yu, Chen, J. H., Kwan-Liu Ma
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2011
Subjects:	Clustering algorithms Computational modeling Data models Data visualization Graphics processing unit Mathematical model Vectors
ISBN:	9781467301565, 1467301566
Online Access:	Get full text
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