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  Approximate Range Queries for Clustering

Oh, E., & Ahn, H.-K. (2018). Approximate Range Queries for Clustering. In B. Speckmann, & C. D. Tóth (Eds.), 34th International Symposium on Computational Geometry (pp. 1-14). Wadern: Schloss Dagstuhl. doi:10.4230/LIPIcs.SoCG.2018.62.

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Genre: Conference Paper

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http://drops.dagstuhl.de/doku/urheberrecht1.html (Copyright transfer agreement)
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 Creators:
Oh, Eunjin1, Author           
Ahn, Hee-Kap2, Author
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2017-02-122018
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Oh_SoCG2018
DOI: 10.4230/LIPIcs.SoCG.2018.62
URN: urn:nbn:de:0030-drops-87755
 Degree: -

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Title: 34th International Symposium on Computational Geometry
Place of Event: Budapest, Hungary
Start-/End Date: 2018-06-11 - 2018-06-14

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Source 1

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Title: 34th International Symposium on Computational Geometry
  Abbreviation : SoCG 2018
  Subtitle : June 11–14, 2018, Budapest, Hungary
Source Genre: Proceedings
 Creator(s):
Speckmann, Bettina1, Editor
Tóth, Csaba D.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Wadern : Schloss Dagstuhl
Pages: - Volume / Issue: - Sequence Number: 62 Start / End Page: 1 - 14 Identifier: ISBN: 978-3-95977-066-8

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Title: Leibniz International Proceedings in Informatics
  Abbreviation : LIPIcs
Source Genre: Series
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Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 99 Sequence Number: - Start / End Page: - Identifier: -