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Histogram / Data visualization / Abstraction / Hierarchical clustering / Outlier / Statistics / Data analysis / Cluster analysis


Measuring Data Abstraction Quality in Multiresolution Visualization ∗ Qingguang Cui1,†, Matthew O. Ward1 , Elke A. Rundensteiner1 and Jing Yang2 1 Worcester
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Document Date: 2006-03-31 19:44:09


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File Size: 544,28 KB

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City

Control Cluster / Freiburg / Cheshire / New York / Charlotte / Milwaukee / San Jose / /

Company

John Wiley and Sons Inc. / The Nearest Neighbor Measure / Astral Telescope Visualiser / Accrue Software / ASQ Quality Press / NNM / /

Country

Germany / /

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Facility

University Polytechnic Institute of North Carolina / University of Freiburg / /

IndustryTerm

data mining techniques / neighbor algorithm / visualization tools / random sampling into network / interaction tool / in-order traversal algorithm / large networks / neighbor algorithms / abstraction algorithm / multiresolution visualization systems / non-uniform sampling algorithm / visualization systems / image retrieval systems / possible solution / approximate query processing / automated user interface critiquing tool / proposed interactive tools / /

Organization

National Science Foundation / Polytechnic Institute / Institute for Computer Science / University of Freiburg / /

Person

Stephen Curial / Y. Fua / A. Martin / W. Kienreich / V / W. Peng / J. Yang / ASE S TUDY / Davood Rafiei / R.O. Duda / M. Ward / E. Rundensteiner / /

Position

representative for each data record / representative / representative / and store this distance / /

ProgrammingLanguage

C / /

ProvinceOrState

New York / Connecticut / North Carolina / California / /

PublishedMedium

Computer Graphics / /

Technology

non-uniform sampling algorithm / bioinformatics / remote sensing / image compression / JPEG / generalized BFOS algorithm / nearest neighbor algorithm / Image Processing / nearest neighbor algorithms / in-order traversal algorithm / abstraction algorithm / data mining / same algorithm / /

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