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Volumn , Issue , 2009, Pages 351-358

Clustering large databases in distributed environment

Author keywords

Clustering; Complexity; Distributed environment; K means; Large database

Indexed keywords

CLUSTERING; COMPLEXITY; DISTRIBUTED ENVIRONMENT; K-MEANS; LARGE DATABASE;

EID: 66249132363     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IADCC.2009.4809035     Document Type: Conference Paper
Times cited : (9)

References (15)
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    • Kantabutra, S.1    Couch, A.2
  • 7
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    • Fast and exact out-of- core and distributed K-means clustering
    • R. Jin, A. Goswami and G. Agarwal, Fast and Exact Out-of- Core and Distributed K-Means Clustering", Knowledge Information Systems, vol.10, pp. 17-40, 2006.
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    • Jin, R.1    Goswami, A.2    Agarwal, G.3
  • 12
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    • Parallel clustering algorithms
    • DOI 10.1016/0167-8191(89)90036-7
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    • Li Xiaobo1    Fang Zhixi2
  • 14
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    • The use of multiple measurements in taxonomic problems
    • R. A. Fisher, The use of multiple measurements in taxonomic prob- lems," Annals of Eugenics, vol.3, pp. 179-188, 1936.
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    • Fisher, R.A.1
  • 15
    • 0035840406 scopus 로고    scopus 로고
    • Genetic classifiers for remotely sensed images: Comparison with standard methods
    • S. K. Pal, S. Bandyopadhyay and C. A. Murthy, Genetic classifier for remotely sensed images: Comparison with standard methods", Intl. J. of Remote Sensing, vol.22, 2001, pp. 2545-2569. (Pubitemid 32760704)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.