Knowledge Discovery in High-Dimensional Data: Case Studies and a User Survey for the Rank-by-Feature Framework.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/tvcg/SeoS06
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http://dblp.uni-trier.de/rec/bibtex/journals/tvcg/SeoS06
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https://dblp.l3s.de/d2r/resource/authors/Ben_Shneiderman
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https://dblp.l3s.de/d2r/resource/authors/Jinwook_Seo
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DBLP journals/tvcg/SeoS06
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2006
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Knowledge Discovery in High-Dimensional Data: Case Studies and a User Survey for the Rank-by-Feature Framework.
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311-322
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dc:
subject
Information visualization evaluation, case study, user survey, rank-by-feature framework, hierarchical clustering explorer.
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dc:
title
Knowledge Discovery in High-Dimensional Data: Case Studies and a User Survey for the Rank-by-Feature Framework.
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