HD-Eye: Visual Mining of High-Dimensional Data.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/cga/HinneburgKW99
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dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/journals/cga/HinneburgKW99
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dc:
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https://dblp.l3s.de/d2r/resource/authors/Alexander_Hinneburg
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dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Daniel_A._Keim
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dc:
creator
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https://dblp.l3s.de/d2r/resource/authors/Markus_Wawryniuk
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http://dx.doi.org/doi.org%2F10.1109%2F38.788795
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DBLP journals/cga/HinneburgKW99
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dc:
identifier
DOI doi.org%2F10.1109%2F38.788795
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dcterms:
issued
1999
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swrc:
journal
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https://dblp.l3s.de/d2r/resource/journals/cga
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rdfs:
label
HD-Eye: Visual Mining of High-Dimensional Data.
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foaf:
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https://dblp.l3s.de/d2r/resource/authors/Alexander_Hinneburg
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foaf:
maker
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https://dblp.l3s.de/d2r/resource/authors/Daniel_A._Keim
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foaf:
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https://dblp.l3s.de/d2r/resource/authors/Markus_Wawryniuk
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swrc:
number
5
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swrc:
pages
22-31
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rdfs:
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http://dblp.uni-trier.de/db/journals/cga/cga19.html#HinneburgKW99
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seeAlso
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https://doi.org/10.1109/38.788795
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dc:
subject
Visual Support of the Clustering Process, Visual Data Mining, Pixel-oriented Visualization Techniques, Iconic Visualization Techniques
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dc:
title
HD-Eye: Visual Mining of High-Dimensional Data.
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19
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