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Volumn Part F128005, Issue , 2017, Pages 771-776

Self-tuning techniques for large scale cluster analysis on textual data collections

Author keywords

Big Data framework; Data transformation method; Data weighting function; Parameter free technique; Text mining

Indexed keywords

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; DATA MINING; DISTRIBUTED COMPUTER SYSTEMS; METADATA; PARAMETER ESTIMATION;

EID: 85020928540     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/3019612.3019661     Document Type: Conference Paper
Times cited : (18)

References (14)
  • 3
    • 85030321143 scopus 로고    scopus 로고
    • Mapreduce: Simplified data processing on large clusters
    • J. Dean and S. Ghemawat. Mapreduce: simplified data processing on large clusters. In OSDI'04, 2004
    • (2004) OSDI'04
    • Dean, J.1    Ghemawat, S.2
  • 7
    • 0025493667 scopus 로고
    • The segmental k-means algorithm for estimating parameters of hidden markov models
    • Sep
    • B.-H. Juang and L. Rabiner. The segmental k-means algorithm for estimating parameters of hidden markov models. IEEE Transactions on Acoustics, Speech and Signal Processing, 38(9):1639-1641, Sep 1990
    • (1990) IEEE Transactions on Acoustics, Speech and Signal Processing , vol.38 , Issue.9 , pp. 1639-1641
    • Juang, B.-H.1    Rabiner, L.2
  • 8
    • 28444454818 scopus 로고    scopus 로고
    • Weight functions impact on LSA performance
    • P. Nakov, A. Popova, and P. Mateev. Weight functions impact on LSA performance. In EuroConference RANLP 2001, pages 187-193
    • (2001) EuroConference RANLP , pp. 187-193
    • Nakov, P.1    Popova, A.2    Mateev, P.3
  • 10
    • 84950632109 scopus 로고
    • Objective criteria for the evaluation of clustering methods
    • W. Rand. Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association, 66(336):846-850, 1971
    • (1971) Journal of the American Statistical Association , vol.66 , Issue.336 , pp. 846-850
    • Rand, W.1
  • 11
    • 0023453329 scopus 로고
    • Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
    • P. J. Rousseeuw. Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20:53-65, 1987
    • (1987) Journal of Computational and Applied Mathematics , vol.20 , pp. 53-65
    • Rousseeuw, P.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.