메뉴 건너뛰기




Volumn , Issue , 2000, Pages 506-515

What is the nearest neighbor in high dimensional spaces?

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE APPLICATIONS; EFFECTIVE ALGORITHMS; HIGH DIMENSIONAL DATA; HIGH DIMENSIONAL SPACES; NEAREST NEIGHBOR SEARCH; NEAREST NEIGHBORS; PERFORMANCE ISSUES; SYNTHETIC DATASETS;

EID: 1542292055     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (463)

References (22)
  • 1
    • 0347718066 scopus 로고    scopus 로고
    • Fast algorithms for projected clustering
    • Aggarwal C.C.et al.: Fast Algorithms for Projected Clustering,Proc.of the ACM SIGMOD Con!., 1999.pp 407-418.
    • (1999) Proc.Of The ACM SIGMOD Con , pp. 407-418
    • Aggarwal, C.C.1
  • 2
    • 0039253822 scopus 로고    scopus 로고
    • Finding generalized projected clusters in high dimensional spaces
    • Aggarwal C.C.Yu P.S.: Finding Generalized Projected Clusters in High Dimensional Spaces, Proceedings of the ACM SIGMOD Conference, 2000, pp.70-81.
    • (2000) ACM SIGMOD Conference , pp. 70-81
    • Aggarwal, C.1    Yu, P.S.2
  • 9
    • 0032083561 scopus 로고    scopus 로고
    • Multidimensional access methods
    • Gaede V., Gunther O. Multidimensional Access Methods, ACM 'ornputing Surveys, Vol.30, No.2, 1998, Pl 170-231.
    • (1998) ACM Cornputing Surveys , vol.30 , Issue.2 , pp. 170-231
    • Gaede, V.1    Gunther, O.2
  • 10
    • 0021615874 scopus 로고
    • R-trees: A dynamic index structure for spatial searching
    • Guttinan, A.: R-Trees: A Dynamic Index Structure for Spatial Searching, Proc.of the ACM SIGMOD Conf., 1984, pp.47-57.
    • (1984) ACM SIGMOD Conf , pp. 47-57
    • Guttinan, A.1
  • 13
    • 0026979939 scopus 로고
    • Techniques for automatically correcting words in text
    • Kukich K.: Techniques for Automatically Correcting Words in Text, ACM Computing Surveys, Vol.24, No.4, 1992, pp.377-44O
    • (1992) ACM Computing Surveys , vol.24 , Issue.4 , pp. 377-440
    • Kukich, K.1
  • 15
    • 85041151933 scopus 로고
    • Pearson Professsional Ltd., Cambridge
    • Openshaw S.: Census User Handbook.Pearson Professsional Ltd., Cambridge, 1995.
    • (1995) Census User Handbook
    • Openshaw, S.1
  • 17
    • 84993661650 scopus 로고    scopus 로고
    • Efficient user-adaptable similarity search in large multimedia databases
    • Athens, Greece
    • Seidl I., Kriegel 11.-P.; Efficient User-Adaptable Similarity Search in Large Multimedia Databases, Proc.of the 23rd mt.Conf.on Very Large Databases, Athens, Greece, 1997, pp.506-515.
    • (1997) Proc.of the 23rd mt.Conf.on Very Large Databases , pp. 506-515
    • Seidl, I.1    Kriegel, P.2
  • 22
    • 0000681228 scopus 로고    scopus 로고
    • A quantitative analysis and performance study for similarity- search methods in high-dimensional spaces
    • New York
    • Weber R., Schek H.-J., Blott S.: A Quantitative Analysis and Performance Study for Similarity- Search Methods in High-Dimensional Spaces, Proc.of !i4rd mt.Conf.on Very Large Data Bases (VLDB'98), New York, 1998, pp.194-205
    • (1998) Proc.Of i4rd Mt.Conf.On Very Large Data Bases (VLDB'98) , pp. 194-205
    • Weber, R.1    Schek, H.-J.2    Blott, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.