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Volumn 91, Issue , 2016, Pages 189-203

A tree-based incremental overlapping clustering method using the three-way decision theory

Author keywords

Incremental clustering; Overlapping clustering; Search tree; Three way decision theory

Indexed keywords

CLUSTER ANALYSIS; COMPUTATION THEORY;

EID: 84982728140     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2015.05.028     Document Type: Article
Times cited : (204)

References (44)
  • 1
    • 77950369345 scopus 로고    scopus 로고
    • Data clustering: 50 years beyond k-means
    • A.K. Jain Data clustering: 50 years beyond k-means Pattern Recogn. Lett. 31 8 2010 651 666
    • (2010) Pattern Recogn. Lett. , vol.31 , Issue.8 , pp. 651-666
    • Jain, A.K.1
  • 2
    • 84873284300 scopus 로고    scopus 로고
    • Soft clustering-fuzzy and rough approaches and their extensions and derivatives
    • G. Peters, F. Crespo, P. Lingras, R. Weber Soft clustering-fuzzy and rough approaches and their extensions and derivatives Int. J. Approx. Reason. 54 2 2013 307 322
    • (2013) Int. J. Approx. Reason. , vol.54 , Issue.2 , pp. 307-322
    • Peters, G.1    Crespo, F.2    Lingras, P.3    Weber, R.4
  • 4
    • 80052025073 scopus 로고    scopus 로고
    • Self-adaptive and dynamic clustering for online anomaly detection
    • S. Lee, G. Kim, S. Kim Self-adaptive and dynamic clustering for online anomaly detection Expert Syst. Appl. 38 12 2011 14891 14898
    • (2011) Expert Syst. Appl. , vol.38 , Issue.12 , pp. 14891-14898
    • Lee, S.1    Kim, G.2    Kim, S.3
  • 6
    • 34548850872 scopus 로고    scopus 로고
    • A survey on clustering algorithms for wireless sensor networks
    • A.A. Abbasi, M. Younis A survey on clustering algorithms for wireless sensor networks Comput. Commun. 30 14 2007 2826 2841
    • (2007) Comput. Commun. , vol.30 , Issue.14 , pp. 2826-2841
    • Abbasi, A.A.1    Younis, M.2
  • 7
    • 84903776882 scopus 로고    scopus 로고
    • An incremental clustering approach based on three-way decisions
    • Springer
    • H. Yu, C. Zhang, F. Hu An incremental clustering approach based on three-way decisions Rough Sets and Current Trends in Computing 2014 Springer 152 159
    • (2014) Rough Sets and Current Trends in Computing , pp. 152-159
    • Yu, H.1    Zhang, C.2    Hu, F.3
  • 8
    • 19544370834 scopus 로고    scopus 로고
    • Incremental clustering for mining in a data warehousing environment
    • M. Ester, H.-P. Kriegel, J. Sander, M. Wimmer, X.W. Xu, Incremental clustering for mining in a data warehousing environment, in: VLDB, vol. 98, 1998, pp. 323-333.
    • (1998) VLDB , vol.98 , pp. 323-333
    • Ester, M.1    Kriegel, H.-P.2    Sander, J.3    Wimmer, M.4    Xu, X.W.5
  • 12
    • 68949146876 scopus 로고    scopus 로고
    • Incremental spectral clustering by efficiently updating the eigen-system
    • H.Z. Ning, W. Xu, Y. Chi, Y.H. Gong, T.S. Huang Incremental spectral clustering by efficiently updating the eigen-system Pattern Recogn. 43 1 2010 113 127
    • (2010) Pattern Recogn. , vol.43 , Issue.1 , pp. 113-127
    • Ning, H.Z.1    Xu, W.2    Chi, Y.3    Gong, Y.H.4    Huang, T.S.5
  • 13
    • 84891865606 scopus 로고    scopus 로고
    • Hierarchical co-clustering: Off-line and incremental approaches
    • R.G. Pensa, D. Ienco, R. Meo Hierarchical co-clustering: off-line and incremental approaches Data Mining Knowl. Discovery 28 1 2014 31 64
    • (2014) Data Mining Knowl. Discovery , vol.28 , Issue.1 , pp. 31-64
    • Pensa, R.G.1    Ienco, D.2    Meo, R.3
  • 14
    • 13844267502 scopus 로고    scopus 로고
    • Efficient phrase-based document indexing for web document clustering
    • K.M. Hammouda, M.S. Kamel Efficient phrase-based document indexing for web document clustering IEEE Trans. Knowl. Data Eng. 16 10 2004 1279 1296
    • (2004) IEEE Trans. Knowl. Data Eng. , vol.16 , Issue.10 , pp. 1279-1296
    • Hammouda, K.M.1    Kamel, M.S.2
  • 15
    • 77249134035 scopus 로고    scopus 로고
    • Dynamic hierarchical algorithms for document clustering
    • R. Gil-García, A. Pons-Porrata Dynamic hierarchical algorithms for document clustering Pattern Recogn. Lett. 31 6 2010 469 477
    • (2010) Pattern Recogn. Lett. , vol.31 , Issue.6 , pp. 469-477
    • Gil-García, R.1    Pons-Porrata, A.2
  • 17
    • 84865752987 scopus 로고    scopus 로고
    • A dynamic split-and-merge approach for evolving cluster models
    • E. Lughofer A dynamic split-and-merge approach for evolving cluster models Evolv. Syst. 3 3 2012 135 151
    • (2012) Evolv. Syst. , vol.3 , Issue.3 , pp. 135-151
    • Lughofer, E.1
  • 18
    • 84887610180 scopus 로고    scopus 로고
    • Online fuzzy medoid based clustering algorithms
    • N. Labroche Online fuzzy medoid based clustering algorithms Neurocomputing 126 2014 141 150
    • (2014) Neurocomputing , vol.126 , pp. 141-150
    • Labroche, N.1
  • 19
    • 3042828054 scopus 로고    scopus 로고
    • Clustering: A rough set approach to constructing information granules
    • J.F. Peters, A. Skowron, Z. Suraj, W. Rząsa, M. Borkowski, Clustering: a rough set approach to constructing information granules, in: Soft Computing and Distributed Processing, 2002, pp. 57-61.
    • (2002) Soft Computing and Distributed Processing , pp. 57-61
    • Peters, J.F.1
  • 20
    • 34548666399 scopus 로고    scopus 로고
    • Mmr: An algorithm for clustering categorical data using rough set theory
    • D. Parmar, T. Wu, J. Blackhurst Mmr: an algorithm for clustering categorical data using rough set theory Data Knowl. Eng. 63 3 2007 879 893
    • (2007) Data Knowl. Eng. , vol.63 , Issue.3 , pp. 879-893
    • Parmar, D.1    Wu, T.2    Blackhurst, J.3
  • 21
    • 84909953977 scopus 로고    scopus 로고
    • A rough set-based method for updating decision rules on attribute values' coarsening and refining
    • H.M. Chen, T.R. Li, C. Luo, S.J. Horng, G.Y. Wang A rough set-based method for updating decision rules on attribute values' coarsening and refining IEEE Trans. Knowl. Data Eng. 26 12 2014 2886 2899
    • (2014) IEEE Trans. Knowl. Data Eng. , vol.26 , Issue.12 , pp. 2886-2899
    • Chen, H.M.1    Li, T.R.2    Luo, C.3    Horng, S.J.4    Wang, G.Y.5
  • 22
  • 23
    • 84864759981 scopus 로고    scopus 로고
    • Dynamic rough clustering and its applications
    • G. Peters, R. Weber, R. Nowatzke Dynamic rough clustering and its applications Appl. Soft Comput. 12 10 2012 3193 3207
    • (2012) Appl. Soft Comput. , vol.12 , Issue.10 , pp. 3193-3207
    • Peters, G.1    Weber, R.2    Nowatzke, R.3
  • 24
    • 84873284300 scopus 로고    scopus 로고
    • Soft clustering - Fuzzy and rough approaches and their extensions and derivatives
    • P. Lingras, G. Peters, F. Crespo, R. Weber Soft clustering - fuzzy and rough approaches and their extensions and derivatives Int. J. Approx. Reason. 54 2 2013 307 322
    • (2013) Int. J. Approx. Reason. , vol.54 , Issue.2 , pp. 307-322
    • Lingras, P.1    Peters, G.2    Crespo, F.3    Weber, R.4
  • 25
    • 79251593234 scopus 로고    scopus 로고
    • The superiority of three-way decisions in probabilistic rough set models
    • Y.Y. Yao The superiority of three-way decisions in probabilistic rough set models Inform. Sci. 181 6 2011 1080 1096
    • (2011) Inform. Sci. , vol.181 , Issue.6 , pp. 1080-1096
    • Yao, Y.Y.1
  • 27
    • 84961287981 scopus 로고    scopus 로고
    • Fast algorithms for computing rough approximations in set-valued decision system while updating criteria values
    • C. Luo, T.R. Li, H.M. Chen, L.X. Lu Fast algorithms for computing rough approximations in set-valued decision system while updating criteria values Inform. Sci. 299 2015 221 242
    • (2015) Inform. Sci. , vol.299 , pp. 221-242
    • Luo, C.1    Li, T.R.2    Chen, H.M.3    Lu, L.X.4
  • 28
    • 84888621954 scopus 로고    scopus 로고
    • Dynamic maintenance of approximations in set-valued ordered decision systems under the attribute generalization
    • C. Luo, T.R. Li, H.M. Chen Dynamic maintenance of approximations in set-valued ordered decision systems under the attribute generalization Inform. Sci. 257 2014 210 228
    • (2014) Inform. Sci. , vol.257 , pp. 210-228
    • Luo, C.1    Li, T.R.2    Chen, H.M.3
  • 29
    • 84888040083 scopus 로고    scopus 로고
    • Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets
    • N. Azam, J.T. Yao Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets Int. J. Approx. Reason. 55 1 2014 142 155
    • (2014) Int. J. Approx. Reason. , vol.55 , Issue.1 , pp. 142-155
    • Azam, N.1    Yao, J.T.2
  • 30
    • 84893926234 scopus 로고    scopus 로고
    • Cost-sensitive three-way email spam filtering
    • B. Zhou, Y.Y. Yao, J.G. Luo Cost-sensitive three-way email spam filtering J. Intell. Inform. Syst. 42 1 2014 19 45
    • (2014) J. Intell. Inform. Syst. , vol.42 , Issue.1 , pp. 19-45
    • Zhou, B.1    Yao, Y.Y.2    Luo, J.G.3
  • 31
    • 84982666408 scopus 로고    scopus 로고
    • A novel risk decision-making based on decision-theoretic rough sets under hesitant fuzzy information
    • D.C. Liang, D. Liu A novel risk decision-making based on decision-theoretic rough sets under hesitant fuzzy information IEEE Trans. Fuzzy Syst. PP 99 2014 1 11
    • (2014) IEEE Trans. Fuzzy Syst. , Issue.99 , pp. 1-11
    • Liang, D.C.1    Liu, D.2
  • 32
    • 84901191945 scopus 로고    scopus 로고
    • Systematic studies on three-way decisions with interval-valued decision-theoretic rough sets
    • D.C. Liang, D. Liu Systematic studies on three-way decisions with interval-valued decision-theoretic rough sets Inform. Sci. 276 2014 186 203
    • (2014) Inform. Sci. , vol.276 , pp. 186-203
    • Liang, D.C.1    Liu, D.2
  • 33
    • 84907343168 scopus 로고    scopus 로고
    • A three-way decisions approach to density-based overlapping clustering
    • Springer
    • H. Yu, Y. Wang, P. Jiao A three-way decisions approach to density-based overlapping clustering Transactions on Rough Sets XVIII 2014 Springer 92 109
    • (2014) Transactions on Rough Sets XVIII , pp. 92-109
    • Yu, H.1    Wang, Y.2    Jiao, P.3
  • 34
    • 84888044158 scopus 로고    scopus 로고
    • An automatic method to determine the number of clusters using decision-theoretic rough set
    • H. Yu, Z.G. Liu, G.Y. Wang An automatic method to determine the number of clusters using decision-theoretic rough set Int. J. Approx. Reason. 55 1 2014 101 115
    • (2014) Int. J. Approx. Reason. , vol.55 , Issue.1 , pp. 101-115
    • Yu, H.1    Liu, Z.G.2    Wang, G.Y.3
  • 36
    • 3042789571 scopus 로고    scopus 로고
    • Interval set clustering of web users with rough k-means
    • P. Lingras, C. West Interval set clustering of web users with rough k-means J. Intell. Inform. Syst. 23 1 2004 5 16
    • (2004) J. Intell. Inform. Syst. , vol.23 , Issue.1 , pp. 5-16
    • Lingras, P.1    West, C.2
  • 38
    • 78650683107 scopus 로고    scopus 로고
    • Interval set clustering
    • M. Chen, D.Q. Miao Interval set clustering Expert Syst. Appl. 38 4 2011 2923 2932
    • (2011) Expert Syst. Appl. , vol.38 , Issue.4 , pp. 2923-2932
    • Chen, M.1    Miao, D.Q.2
  • 39
    • 84922728924 scopus 로고    scopus 로고
    • Online tree-based ensembles and option trees for regression on evolving data streams
    • E. Ikonomovska, J. Gama, S. Džeroski Online tree-based ensembles and option trees for regression on evolving data streams Neurocomputing 150 2014 458 470
    • (2014) Neurocomputing , vol.150 , pp. 458-470
    • Ikonomovska, E.1    Gama, J.2    Džeroski, S.3
  • 43
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - A knowledge reuse framework for combining multiple partitions
    • A. Strehl, J. Ghosh Cluster ensembles - a knowledge reuse framework for combining multiple partitions J. Machine Learn. Res. 3 2003 583 617
    • (2003) J. Machine Learn. Res. , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 44
    • 84982727235 scopus 로고    scopus 로고
    • Uci
    • Uci, 2014. < http://archive.ics.uci.edu/ml >.
    • (2014)


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