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Volumn 22, Issue 2, 2007, Pages 208-217

Composite distance transformation for indexing and k-nearest-neighbor searching in high-dimensional spaces

Author keywords

Centroid distance; K nearest neighbor search; Start distance

Indexed keywords

CENTROID DISTANCE; COMPOSITE DISTANCE TRANSFORMATION METHOD; K-NEAREST NEIGHBOR SEARCH; START DISTANCE;

EID: 34247210264     PISSN: 10009000     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11390-007-9027-5     Document Type: Article
Times cited : (4)

References (10)
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    • (2001) ACM Computing Surveys , vol.33 , Issue.3 , pp. 322-373
    • Böhm, C.1    Berchtold, S.2    Keim, D.3
  • 2
    • 0021615874 scopus 로고    scopus 로고
    • Guttman A. R-tree: A dynamic index structure for spatial searching. In Proc. the ACM SIGMOD Int. Conf. Management Data, Boston, USA, 1984, pp.47-54.
    • Guttman A. R-tree: A dynamic index structure for spatial searching. In Proc. the ACM SIGMOD Int. Conf. Management Data, Boston, USA, 1984, pp.47-54.
  • 3
    • 0025447750 scopus 로고    scopus 로고
    • Beckmann N, Kriegel H-P, Schneider R, Seeger B. The R*-tree: An efficient and robust access method for points and rectangles. In Proc. ACM SIGMOD Int. Conf. Management Data, Atlantic, USA, 1990, pp.322-331.
    • Beckmann N, Kriegel H-P, Schneider R, Seeger B. The R*-tree: An efficient and robust access method for points and rectangles. In Proc. ACM SIGMOD Int. Conf. Management Data, Atlantic, USA, 1990, pp.322-331.
  • 5
    • 0031162081 scopus 로고    scopus 로고
    • Katamaya N, Satoh S. The SR-tree: An index structure for high-dimensional nearest neighbor queries. In Proc. ACM SIGMOD Int. Conf. Management of Data, Arizona, USA, 1997, pp.32-42.
    • Katamaya N, Satoh S. The SR-tree: An index structure for high-dimensional nearest neighbor queries. In Proc. ACM SIGMOD Int. Conf. Management of Data, Arizona, USA, 1997, pp.32-42.
  • 6
    • 0000681228 scopus 로고    scopus 로고
    • A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces
    • New York, USA
    • Weber R, Schek H, Blott S. A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces. In Proc. 24th Int. Conf. Very Large Data Bases, New York, USA, 1998, pp.194-205.
    • (1998) Proc. 24th Int. Conf. Very Large Data Bases , pp. 194-205
    • Weber, R.1    Schek, H.2    Blott, S.3
  • 7
    • 0033897520 scopus 로고    scopus 로고
    • Berchtold S, Bohm C, Kriegel HP et al. Independent quantization: An index compression technique for high-dimensional data spaces. In Proc. 16th Int. Conf. Data Engineering, San Diego, USA, 2000, pp.577-588.
    • Berchtold S, Bohm C, Kriegel HP et al. Independent quantization: An index compression technique for high-dimensional data spaces. In Proc. 16th Int. Conf. Data Engineering, San Diego, USA, 2000, pp.577-588.
  • 9
    • 23944466912 scopus 로고    scopus 로고
    • +-tree based indexing method for nearest neighbor search. ACM Trans. Data Base Systems, 2005, 30(2): 364-397.
    • +-tree based indexing method for nearest neighbor search. ACM Trans. Data Base Systems, 2005, 30(2): 364-397.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.