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Nearest neighbor queries in metric spaces
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the twenty-ninth annual ACM symposium on Theory of computing table of contents
El Paso, Texas, United States
Pages: 609 - 617  
Year of Publication: 1997
ISBN:0-89791-888-6
Author
Kenneth L. Clarkson  Bell Laboratories, Lucent Technologies, Murray Hill, New Jersey
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 4,   Downloads (12 Months): 40,   Citation Count: 11
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
Bri95
 
Cla83
K. L. Clarkson. Fast algorithms for the all nearest neighbors problem. In Proc. 24th Annu. IEEE Sympos. Found. Comput. $ci., pages 226-232, 1983.
 
Cla92
K.L. Clarkson. Randomized geometric algorithms. In D.-Z. Du and F. K. Hwang, editors, Computing in Euclidean Geometry, volume 1 of Lecture Notes Series on Computing, pages 117-162. World Scientific, Singapore, 1992.
 
FC96
 
FS82
C.D. Feustel and L. G. Shapiro. The nearest neighbor problem in an abstract metric space. Pattern Recognition Letters, 1982.
MR86
 
Mul93
K. Mulmuley. Computational Geometry: An Introduction Through Randomized Algorithms. Prentice Hall, Englewood Cliffs, N J, 1993.
 
Uhl91
Uhlmann. Satisfying general proximity/similarity queries with metric trees. Inform. Proc. Letters, 40, 1991.
 
Vai89
 
Yia93

CITED BY  11

Collaborative Colleagues:
Kenneth L. Clarkson: colleagues