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Volumn 148, Issue , 2006, Pages 97-104

Cover trees for nearest neighbor

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDED EXPANSION CONSTANT; INTRINSIC DIMENSIONALITY; TREE DATA STRUCTURE;

EID: 34250785135     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1143844.1143857     Document Type: Conference Paper
Times cited : (434)

References (13)
  • 1
    • 34250778839 scopus 로고    scopus 로고
    • trees for nearest neighbor. Available at
    • Beygelzimer, A., Kakade, S., & Langford, J. (2005). Cover trees for nearest neighbor. Available at http://hunch.net/~jl/projects/cover_tree.
    • (2005) Cover
    • Beygelzimer, A.1    Kakade, S.2    Langford, J.3
  • 2
    • 0033453107 scopus 로고    scopus 로고
    • Nearest neighbor queries in metric spaces
    • Clarkson, K. (1999). Nearest neighbor queries in metric spaces. Discrete and Computational Geometry, 22, 63-93.
    • (1999) Discrete and Computational Geometry , vol.22 , pp. 63-93
    • Clarkson, K.1
  • 7
    • 33749260659 scopus 로고    scopus 로고
    • Fast constructions of nets in low dimensional metrics and their applications
    • Har-Peled, S., & Mendel, M. (2006). Fast constructions of nets in low dimensional metrics and their applications. SIAM Journal on Computing, 35, 1148-1184.
    • (2006) SIAM Journal on Computing , vol.35 , pp. 1148-1184
    • Har-Peled, S.1    Mendel, M.2
  • 12
    • 0043023536 scopus 로고
    • Efficient algorithms with neural network behavior
    • Omohundro, S. (1987). Efficient algorithms with neural network behavior. Journal of Complex Systems, 1, 273-347.
    • (1987) Journal of Complex Systems , vol.1 , pp. 273-347
    • Omohundro, S.1
  • 13
    • 0026256261 scopus 로고
    • Satisfying general proximity/similarity queries with metric trees
    • Uhlmann, J. (1991). Satisfying general proximity/similarity queries with metric trees. Information Processing Letters, 40, 175-179.
    • (1991) Information Processing Letters , vol.40 , pp. 175-179
    • Uhlmann, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.