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  Static and dynamic algorithms for k-point clustering problems

Smid, M., Datta, A., Lenhof, H.-P., & Schwarz, C.(1993). Static and dynamic algorithms for k-point clustering problems (MPI-I-93-108). Saarbrücken: Max-Planck-Institut für Informatik.

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MPI-I-93-108.pdf (Any fulltext), 17MB
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Smid, Michiel1, Author           
Datta, Amitava1, Author
Lenhof, Hans-Peter1, Author           
Schwarz, Christian1, Author           
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1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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 Abstract: Let $S$ be a set of $n$ points in $d$-space and let $1 \leq k \leq n$ be an integer. A unified approach is given for solving the problem of finding a subset of $S$ of size $k$ that minimizes some closeness measure, such as the diameter, perimeter or the circumradius. Moreover, data structures are given that maintain such a subset under insertions and deletions of points.

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Language(s): eng - English
 Dates: 1993
 Publication Status: Issued
 Pages: 20 p.
 Publishing info: Saarbrücken : Max-Planck-Institut für Informatik
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 Identifiers: Report Nr.: MPI-I-93-108
BibTex Citekey: MPI-I-93-108
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Title: Research Report / Max-Planck-Institut für Informatik
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