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Volumn , Issue , 2011, Pages 60-64

A parallel K-means clustering algorithm with MPI

Author keywords

Clustering; K means algorithm; MPI; Parallel computing

Indexed keywords

CLUSTERING; DATA SETS; EXPERIMENTAL STUDIES; K-MEANS; K-MEANS ALGORITHM; K-MEANS CLUSTERING ALGORITHM; LOW OVERHEAD; MESSAGE PASSING INTERFACE; MINING TASKS; MPI; PARALLEL ENVIRONMENT; PROGRAMMING MODELS; REAL-WORLD APPLICATION;

EID: 84863025794     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PAAP.2011.17     Document Type: Conference Paper
Times cited : (44)

References (17)
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  • 6
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    • A high-performance, portable implementation of the MPI message passing interface
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  • 7
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    • Efficiency of hierarchic agglomerative clustering using the ICL distributed array processor
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  • 8
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  • 9
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    • Parallel K-means clustering based on MapReduce
    • W. Zhao, H. Ma, Q. He, "Parallel K-Means Clustering Based on MapReduce," in: Cloud Computing, vol. 5931, pp. 674-679, 2009.
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    • Zhao, W.1    Ma, H.2    He, Q.3
  • 10
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    • Parallel K-means clustering algorithm on NOWs
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    • Kantabutra, S.1    Couch, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.