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Volumn , Issue , 2009, Pages 171-178

Density-based clustering of polygons

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DENSITY-BASED CLUSTERING; DENSITY-BASED CLUSTERING ALGORITHMS; DISTANCE FUNCTIONS; REAL DATA SETS; SPATIAL ANALYSIS; SPATIAL DATA MINING; SPATIAL PROPERTIES;

EID: 67650469122     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2009.4938646     Document Type: Conference Paper
Times cited : (20)

References (21)
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    • Agrawal, R.1    Gehrke, J.2    Gunopulos, D.3    Raghavan, P.4
  • 2
    • 0343442766 scopus 로고
    • Knowledge acquisition via incremental conceptual clustering
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    • Fisher, D.1
  • 5
    • 0029542473 scopus 로고
    • Modelling conceptual neighbourhoods of topological line-region relations
    • M. J. Egenhofer, and D. M. Mark, "Modeling conceptual neighborhoods of topological line-region relations," International Journal of Geographical Information Systems, 9(5), 1995, pp 555-565. (Pubitemid 26443605)
    • (1995) International Journal of Geographical Information Systems , vol.9 , Issue.5 , pp. 555-565
    • Egenhofer, M.J.1    Mark, D.M.2
  • 6
    • 23044519025 scopus 로고    scopus 로고
    • Spatial data mining: Database primitives, algorithms and efficient DBMS support
    • Kluwer Academic Publishers
    • M. Ester, A. Frommelt, H.-P Kriegel , and J. Sander J., "Spatial data mining: database primitives, algorithms and efficient DBMS support," Data Mining and Knowledge Discovery, Kluwer Academic Publishers, 4, 2-3, 2000, pp 193-216.
    • (2000) Data Mining and Knowledge Discovery , vol.4 , Issue.2-3 , pp. 193-216
    • Ester, M.1    Frommelt, A.2    Kriegel, H.-P.3    Sander, J.J.4
  • 9
    • 0010415411 scopus 로고    scopus 로고
    • Spatial clustering methods in data mining: A survey
    • in Miller, H., and Han, J., eds., Taylor and Francis
    • J. Han, M. Kamber, and A. Tung, "Spatial clustering methods in data mining: A Survey," in Miller, H., and Han, J., eds., Geographic Data Mining and Knowledge Discovery. Taylor and Francis. 2001, 21.
    • (2001) Geographic Data Mining and Knowledge Discovery , vol.21
    • Han, J.1    Kamber, M.2    Tung, A.3
  • 13
    • 0026153079 scopus 로고
    • Computing the minimum Hausdorff distance between two point sets on a line under translation
    • DOI 10.1016/0020-0190(91)90233-8
    • G. Rote, "Computing the minimum Hausdorff distance between two point sets on a line under translation," in Information Processing Letters, 38, 1991,123-127. (Pubitemid 21668256)
    • (1991) Information Processing Letters , vol.38 , Issue.3 , pp. 123-127
    • Rote Guenter1
  • 15
    • 0032091595 scopus 로고    scopus 로고
    • CURE: An efficient clustering algorithm for large databases
    • S. Guha, R. Rastogi, and K. Shim, "CURE: an efficient clustering algorithm for large databases," in Proceeding of ACM SIGMOD International Conference on Management of Data, Seattle, WA, 1998, 73-84. (Pubitemid 128655958)
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    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 16
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    • Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
    • DOI 10.1023/A:1009745219419
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    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 169-194
    • Sander, J.1    Ester, M.2    Kriegel, H.-P.3    Xu, X.4
  • 17
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    • Reapportionment, gerrymanders, and the notion of compactness
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.