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Volumn 3625, Issue , 2005, Pages 227-245

Spatial clustering of structured objects

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; DATA ACQUISITION; GEOMETRY; MATHEMATICAL MODELS;

EID: 26944497224     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11536314_14     Document Type: Conference Paper
Times cited : (14)

References (24)
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    • Ester, M.1    Kriegel, H.-P.2    Sander, J.3    Xu, X.4
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    • Robust distance-based clustering with applications to spatial data mining
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    • Estivill-Castro, V.1    Houle, M.E.2
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    • Relational instance-based learning with lists and terms
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    • Malerba, D.1
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    • Improved distances for structured data
    • T. Horváth and A. Yamamoto, editors Springer-Verlag
    • D. Mavroeidis and P. Flach. Improved distances for structured data. In T. Horvath and A. Yamamoto, editors, Inductive Logic Programming, 13th International Conference, volume 2835, pages 251-268- Springer-Verlag, 2003.
    • (2003) Inductive Logic Programming, 13th International Conference , vol.2835 , pp. 251-268
    • Mavroeidis, D.1    Flach, P.2
  • 18
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    • Efficient and effective clustering methods for spatial data mining
    • J. Bocca, M. Jarke, and C. Zaniolo, editors. Morgan Kaufmann Publishers
    • R. T. Ng and J. Han. Efficient and effective clustering methods for spatial data mining. In J. Bocca, M. Jarke, and C. Zaniolo, editors, Very Large Data Bases, 20th International Conference, pages 144-155. Morgan Kaufmann Publishers, 1994.
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    • Density-based clustering in spatial databases: The algorithm gdbscan and its applications
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.