Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/tkdd/KriegelKZ09
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dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/journals/tkdd/KriegelKZ09
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https://dblp.l3s.de/d2r/resource/authors/Arthur_Zimek
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dc:
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<
https://dblp.l3s.de/d2r/resource/authors/Hans-Peter_Kriegel
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creator
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https://dblp.l3s.de/d2r/resource/authors/Peer_Kr%E2%88%9A%E2%88%82ger
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dc:
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dc:
identifier
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dcterms:
issued
2009
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swrc:
journal
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https://dblp.l3s.de/d2r/resource/journals/tkdd
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rdfs:
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Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering.
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foaf:
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https://dblp.l3s.de/d2r/resource/authors/Arthur_Zimek
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maker
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swrc:
number
1
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swrc:
pages
1:1-1:58
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owl:
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dc:
subject
Survey, clustering, high-dimensional data
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dc:
title
Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering.
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3
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