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Volumn 5, Issue 7, 2012, Pages 610-621

Uncertain centroid based partitional clustering of uncertain data

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION MANAGEMENT;

EID: 84863749915     PISSN: None     EISSN: 21508097     Source Type: Conference Proceeding    
DOI: 10.14778/2180912.2180914     Document Type: Article
Times cited : (31)

References (19)
  • 2
    • 85039685758 scopus 로고    scopus 로고
    • UCI Machine Learning Repository
    • A. Asuncion and D. Newman. UCI Machine Learning Repository, http://archive.ics.uci.edu/ml/.
    • Asuncion, A.1    Newman, D.2
  • 3
    • 85039679364 scopus 로고    scopus 로고
    • Broad Institute of MIT and Harvard. Cancer program dataset page
    • Broad Institute of MIT and Harvard. Cancer program dataset page, http://www.broad.mit.edu/cgibin/cancer/datasets.cgi.
  • 4
    • 33745782098 scopus 로고    scopus 로고
    • Uncertain data mining: An example in clustering location data
    • M. Chau, R. Cheng, B. Kao, and J. Ng. Uncertain data mining: An example in clustering location data. In Proc. PAKDD Conf., pages 199-204, 2006.
    • (2006) Proc. PAKDD Conf. , pp. 199-204
    • Chau, M.1    Cheng, R.2    Kao, B.3    Ng, J.4
  • 5
    • 57349191578 scopus 로고    scopus 로고
    • Approximation algorithms for clustering uncertain data
    • G. Cormode and A. McGregor. Approximation algorithms for clustering uncertain data. In Proc. ACM PODS Conf., pages 191-200, 2008.
    • (2008) Proc. ACM PODS Conf. , pp. 191-200
    • Cormode, G.1    McGregor, A.2
  • 7
    • 77049119257 scopus 로고    scopus 로고
    • Clustering uncertain data via K-medoids
    • F. Gullo, G. Ponti, and A. Tagarelli. Clustering uncertain data via K-medoids. In Proc. SUM Conf., pages 229-242, 2008.
    • (2008) Proc. SUM Conf. , pp. 229-242
    • Gullo, F.1    Ponti, G.2    Tagarelli, A.3
  • 8
    • 79951749753 scopus 로고    scopus 로고
    • Minimizing the variance of cluster mixture models for clustering uncertain objects
    • F. Gullo, G. Ponti, and A. Tagarelli. Minimizing the variance of cluster mixture models for clustering uncertain objects. In Proc. IEEE ICDM Conf., pages 839-844, 2010.
    • (2010) Proc. IEEE ICDM Conf. , pp. 839-844
    • Gullo, F.1    Ponti, G.2    Tagarelli, A.3
  • 9
    • 67049161210 scopus 로고    scopus 로고
    • A hierarchical algorithm for clustering uncertain data via an information-theoretic approach
    • F. Gullo, G. Ponti, A. Tagarelli, and S. Greco. A hierarchical algorithm for clustering uncertain data via an information-theoretic approach. In Proc. IEEE ICDM Conf., pages 821-826, 2008.
    • (2008) Proc. IEEE ICDM Conf. , pp. 821-826
    • Gullo, F.1    Ponti, G.2    Tagarelli, A.3    Greco, S.4
  • 11
    • 77955150205 scopus 로고    scopus 로고
    • Clustering uncertain data using Voronoi diagrams and R-tree index
    • B. Kao, S. D. Lee, F. K. F. Lee, D. W. L. Cheung, and W. S. Ho. Clustering uncertain data using Voronoi diagrams and R-tree index. IEEE TKDE, 22(9):1219-1233, 2010.
    • (2010) IEEE TKDE , vol.22 , Issue.9 , pp. 1219-1233
    • Kao, B.1    Lee, S.D.2    Lee, F.K.F.3    Cheung, D.W.L.4    Ho, W.S.5
  • 12
    • 32344450354 scopus 로고    scopus 로고
    • Density-based clustering of uncertain data
    • H. P. Kriegel and M. Pfeifle. Density-based clustering of uncertain data. In Proc. ACM KDD Conf., pages 672-677, 2005.
    • (2005) Proc. ACM KDD Conf. , pp. 672-677
    • Kriegel, H.P.1    Pfeifle, M.2
  • 13
    • 34548573317 scopus 로고    scopus 로고
    • Hierarchical density-based clustering of uncertain data
    • H. P. Kriegel and M. Pfeifle. Hierarchical density-based clustering of uncertain data. In Proc. IEEE ICDM Conf., pages 689-692, 2005.
    • (2005) Proc. IEEE ICDM Conf. , pp. 689-692
    • Kriegel, H.P.1    Pfeifle, M.2
  • 15
    • 24644460573 scopus 로고    scopus 로고
    • A tractable probabilistic model for affymetrix probe-level analysis across multiple chips
    • X. Liu, M. Milo, N. D. Lawrence, and M. Rattray. A tractable probabilistic model for affymetrix probe-level analysis across multiple chips. Bioinformatics, 21(18):3637-3644, 2005.
    • (2005) Bioinformatics , vol.21 , Issue.18 , pp. 3637-3644
    • Liu, X.1    Milo, M.2    Lawrence, N.D.3    Rattray, M.4
  • 16
    • 78649488798 scopus 로고    scopus 로고
    • Metric and trigonometric pruning for clustering of uncertain data in 2D geometric space
    • W. K. Ngai, B. Kao, R. Cheng, M. Chau, S. D. Lee, D. W. Cheung, and K. Y. Yip. Metric and trigonometric pruning for clustering of uncertain data in 2D geometric space. Information Systems, 36(2):476-497, 2011.
    • (2011) Information Systems , vol.36 , Issue.2 , pp. 476-497
    • Ngai, W.K.1    Kao, B.2    Cheng, R.3    Chau, M.4    Lee, S.D.5    Cheung, D.W.6    Yip, K.Y.7
  • 18
    • 70349843819 scopus 로고    scopus 로고
    • Representing uncertain data: models, properties, and algorithms
    • A. D. Sarma, O. Benjelloun, A. Y. Halevy, S. U. Nabar, and J. Widom. Representing uncertain data: models, properties, and algorithms. The VLDB Journal, 18(5):989-1019, 2009.
    • (2009) The VLDB Journal , vol.18 , Issue.5 , pp. 989-1019
    • Sarma, A.D.1    Benjelloun, O.2    Halevy, A.Y.3    Nabar, S.U.4    Widom, J.5
  • 19
    • 7544226852 scopus 로고    scopus 로고
    • Managing uncertainty in moving objects databases
    • G. Trajcevski, O. Wolfson, K. Hinrichs, and S. Chamberlain. Managing uncertainty in moving objects databases. ACM TODS, 29(3):463-507, 2004.
    • (2004) ACM TODS , vol.29 , Issue.3 , pp. 463-507
    • Trajcevski, G.1    Wolfson, O.2    Hinrichs, K.3    Chamberlain, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.