Redefining Clustering for High-Dimensional Applications.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/tkde/AggarwalY02
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Value
dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/journals/tkde/AggarwalY02
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dc:
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<
https://dblp.l3s.de/d2r/resource/authors/Charu_C._Aggarwal
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dc:
creator
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https://dblp.l3s.de/d2r/resource/authors/Philip_S._Yu
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foaf:
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http://dx.doi.org/doi.org%2F10.1109%2F69.991713
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dcterms:
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2002
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rdfs:
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Redefining Clustering for High-Dimensional Applications.
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https://dblp.l3s.de/d2r/resource/authors/Charu_C._Aggarwal
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https://dblp.l3s.de/d2r/resource/authors/Philip_S._Yu
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swrc:
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2
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swrc:
pages
210-225
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rdfs:
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https://doi.org/10.1109/69.991713
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dc:
subject
data mining, clustering, high dimensions, dimensionality curse
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dc:
title
Redefining Clustering for High-Dimensional Applications.
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