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Volumn , Issue , 2004, Pages 43-50

Discovering spatial patterns accurately with effective noise removal

Author keywords

clustering; data mining; noise removal; pattern discovery

Indexed keywords

BENCHMARK DATA; CLUSTERING DATA; CLUSTERING TECHNIQUES; DATA POINTS; DATA SETS; DOMAIN SPECIFIC; EXPERIMENTAL STUDIES; HIER-ARCHICAL CLUSTERING; NATURAL CLUSTERS; NOISE REMOVAL; PATTERN DISCOVERY; REAL IMAGES; SPATIAL DATABASE; SPATIAL PATTERNS;

EID: 33644548445     PISSN: 07308078     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1008694.1008701     Document Type: Conference Paper
Times cited : (15)

References (13)
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    • Finding clusters of different sizes, shapes, and densities in noisy, high dimensional data
    • Ertoz, L., Steinbach, M., and Kumar, V. (2003), Finding clusters of different sizes, shapes, and densities in noisy, high dimensional data, In Proc. of SIAM DM'03.
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    • Ertoz, L.1    Steinbach, M.2    Kumar, V.3
  • 5
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    • Spatial clustering methods in data mining: A survey
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    • Han, J., Kamber, M., and Tung, A. K. H. (2001). Spatial clustering methods in data mining: A survey, H. Miller and J. Han (eds.), Geographic Data Mining and Knowledge Discovery, Taylor and Francis.
    • (2001) Geographic Data Mining and Knowledge Discovery
    • Han, J.1    Kamber, M.2    Tung, A.K.H.3
  • 7
    • 0004161991 scopus 로고
    • Prentice-Hall advanced reference series. Prentice-Hall, Inc., Upper Saddle River, NJ
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    • (1988) Algorithms for Clustering Data
    • Jain, A.K.1    Dubes, R.C.2
  • 8
    • 0032686723 scopus 로고    scopus 로고
    • CHAMELEON, a hierarchical clustering algorithm using dynamic modeling
    • Karypis, G., Han, E., and Kumar, V. (1999). CHAMELEON, A hierarchical clustering algorithm using dynamic modeling, IEEE Computer, Vol.32, pp. 68-75.
    • (1999) IEEE Computer , vol.32 , pp. 68-75
    • Karypis, G.1    Han, E.2    Kumar, V.3
  • 10
    • 3142740971 scopus 로고    scopus 로고
    • FACADE: A Fast and Effective Approach to the Discovery of Dense Clusters in Noisy Spatial Data
    • ACM Press. (Demo Abstract)
    • Qian, Y., Zhang, G., and Zhang, K. (2004) FACADE: A Fast and Effective Approach to the Discovery of Dense Clusters in Noisy Spatial Data, In Proc. ACM SIGMOD 2004 Conference, Paris, France, 13-18 June 2004, ACM Press. (Demo Abstract)
    • (2004) Proc. ACM SIGMOD 2004 Conference, Paris, France, 13-18 June 2004
    • Qian, Y.1    Zhang, G.2    Zhang, K.3
  • 12
    • 0000488788 scopus 로고
    • Network structure and minimum degree
    • Seidman, S. B. (1983). Network structure and minimum degree. Social Networks, 5, pp. 269-287.
    • (1983) Social Networks , vol.5 , pp. 269-287
    • Seidman, S.B.1
  • 13
    • 77953995997 scopus 로고    scopus 로고
    • http://www.cs.umn.edu/~ertoz/snn/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.