메뉴 건너뛰기




Volumn 43, Issue 11, 2010, Pages 3768-3786

The structural clustering and analysis of metric based on granular space

Author keywords

Clustering fusion; Clustering structural analysis; Consistent cluster; Granular computing; Granular space; Normalized metric space; Optimal cluster

Indexed keywords

CLUSTER COMPUTING; COMPUTATION THEORY; GRANULAR COMPUTING; SET THEORY; TOPOLOGY;

EID: 78049345765     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2009.10.009     Document Type: Article
Times cited : (30)

References (71)
  • 2
    • 9444270379 scopus 로고    scopus 로고
    • Some reflections on information granulation and its contrility in granular computing, computing with words, the computational theory of perceptions and preciseated natural language
    • T.Y. Lin, Y.Y. Yao, L.A. Zadeh (Eds.), Physica-Verlag, Wurzburg
    • L.A. Zadeh, Some reflections on information granulation and its contrility in granular computing, computing with words, the computational theory of perceptions and preciseated natural language, in: T.Y. Lin, Y.Y. Yao, L.A. Zadeh (Eds.), Data Mining, Rough Sets and Granular Computing, Physica-Verlag, Wurzburg, 2002.
    • (2002) Data Mining, Rough Sets and Granular Computing
    • Zadeh, L.A.1
  • 3
    • 0011796122 scopus 로고    scopus 로고
    • The roles of fuzzy logic and soft computing in the conception, design and deployment of intelligent systems
    • H.S. Nwana, N. Azarmi (Eds.), Springer, Berlin
    • L.A. Zadeh, The roles of fuzzy logic and soft computing in the conception, design and deployment of intelligent systems, in: H.S. Nwana, N. Azarmi (Eds.), Software Agents and Soft Computing: Towards Enhancing Machine Intelligence, Concepts and Applications, Springer, Berlin, 1997, pp. 183-190.
    • (1997) Software Agents and Soft Computing: Towards Enhancing Machine Intelligence, Concepts and Applications , pp. 183-190
    • Zadeh, L.A.1
  • 5
    • 0001042148 scopus 로고    scopus 로고
    • Granular computing: Basic issues and possible solutions
    • P.P. Wang (Ed.), Association for Intelligent Machinery
    • Y.Y. Yao, Granular computing: basic issues and possible solutions, in: P.P. Wang (Ed.), Proceedings of the 5th Joint Conference on Information Sciences, vol. I, Association for Intelligent Machinery, 2000, pp. 186-189.
    • (2000) Proceedings of the 5th Joint Conference on Information Sciences , vol.1 , pp. 186-189
    • Yao, Y.Y.1
  • 8
    • 0001757607 scopus 로고    scopus 로고
    • Potential applications of granular computing in knowledge discovery and data mining
    • M. Torres, B. Sanchez, J. Aguilar (Eds.), Computer Science and Engineering
    • Y.Y. Yao, N. Zhong, Potential applications of granular computing in knowledge discovery and data mining, in: M. Torres, B. Sanchez, J. Aguilar (Eds.), Proceedings of World Multiconference on Systemics, Cybernetics and Informatics, vol. 5, Computer Science and Engineering, 1999, pp. 573-580.
    • (1999) Proceedings of World Multiconference on Systemics, Cybernetics and Informatics , vol.5 , pp. 573-580
    • Yao, Y.Y.1    Zhong, N.2
  • 9
    • 0001775050 scopus 로고    scopus 로고
    • Granular computing using neighborhood systems
    • R. Roy, T. Furuhashi, R.K. Chawdhry (Eds.), Springer, London
    • Y.Y. Yao, Granular computing using neighborhood systems, in: R. Roy, T. Furuhashi, R.K. Chawdhry (Eds.), Advances in Soft Computing: Engineering Design and Facturing, Springer, London, 1999, pp. 111-116.
    • (1999) Advances in Soft Computing: Engineering Design and Facturing , pp. 111-116
    • Yao, Y.Y.1
  • 14
    • 84867820785 scopus 로고    scopus 로고
    • Knowledge granularity and action selection
    • F. Giunchiglia (Ed.)
    • Y. Ye, J.K. Tsotsos, Knowledge granularity and action selection, in: F. Giunchiglia (Ed.), AIMSA'98, LNAI 1480, 1998, pp. 475-488.
    • (1998) AIMSA'98, LNAI 1480 , pp. 475-488
    • Ye, Y.1    Tsotsos, J.K.2
  • 15
    • 33745644066 scopus 로고    scopus 로고
    • Clustering Web documents based on knowledge granularity
    • X. Zhou et al. (Eds.)
    • F. Huang, S. Zhang, Clustering Web documents based on knowledge granularity, in: X. Zhou et al. (Eds.), APWeb2006, LNCS3841, 2006, pp. 85-96.
    • (2006) APWeb2006, LNCS3841 , pp. 85-96
    • Huang, F.1    Zhang, S.2
  • 18
    • 0038727857 scopus 로고    scopus 로고
    • Fuzzy quotient space theory (fuzzy granule computing methods)
    • (in Chinese)
    • L. Zhang, B. Zhang, Fuzzy quotient space theory (fuzzy granule computing methods), Chinese Journal of Software 14 (4) (2003) 770-776 (in Chinese).
    • (2003) Chinese Journal of Software , vol.14 , Issue.4 , pp. 770-776
    • Zhang, L.1    Zhang, B.2
  • 23
    • 43249105516 scopus 로고
    • Beijing Normal University Press, Beijing, (in Chinese)
    • C.-Z. Wu, Introduction of Fuzzy Set(I), Beijing Normal University Press, Beijing, 1984 (in Chinese).
    • (1984) Introduction of Fuzzy Set(I)
    • Wu, C.-Z.1
  • 24
    • 0014534297 scopus 로고
    • A new approach to clustering
    • E.H. Ruspini, A new approach to clustering, Information and Control 15 (1) (1969) 22-32.
    • (1969) Information and Control , vol.15 , Issue.1 , pp. 22-32
    • Ruspini, E.H.1
  • 26
    • 0035480423 scopus 로고    scopus 로고
    • An optimal algorithm for computing the Max-Min transitive closure of a fuzzy similarity maxtrix
    • H.-S. Lee, An optimal algorithm for computing the Max-Min transitive closure of a fuzzy similarity maxtrix, Fuzzy Sets and Systems 123 (2001) 129-136.
    • (2001) Fuzzy Sets and Systems , vol.123 , pp. 129-136
    • Lee, H.-S.1
  • 30
    • 23844536246 scopus 로고    scopus 로고
    • Fuzzy clustering of categorical data using fuzzy centroids
    • D.-W. Kim, K.H. Lee, D. Lee, Fuzzy clustering of categorical data using fuzzy centroids, Pattern Recognition Letters 25 (2004) 1263-1271.
    • (2004) Pattern Recognition Letters , vol.25 , pp. 1263-1271
    • Kim, D.-W.1    Lee, K.H.2    Lee, D.3
  • 31
    • 1142279663 scopus 로고    scopus 로고
    • An approach for fuzzy rule-base adaptation using on-line clustering
    • P. Angelov, An approach for fuzzy rule-base adaptation using on-line clustering, International Journal of Approximate Reasoning 35 (2004) 275-289.
    • (2004) International Journal of Approximate Reasoning , vol.35 , pp. 275-289
    • Angelov, P.1
  • 32
    • 0037118555 scopus 로고    scopus 로고
    • A fuzzy hybrid hierarchical clustering method with a new criterion able to find the optimal partition
    • A. Devillez, P. Billaudel, G.V. Lecolier, A fuzzy hybrid hierarchical clustering method with a new criterion able to find the optimal partition, Fuzzy Sets and Systems 128 (2002) 323-338.
    • (2002) Fuzzy Sets and Systems , vol.128 , pp. 323-338
    • Devillez, A.1    Billaudel, P.2    Lecolier, G.V.3
  • 33
    • 0036885192 scopus 로고    scopus 로고
    • Collaborative fuzzy clustering
    • W. Pedrycz, Collaborative fuzzy clustering, Pattern Recognition Letters 23 (2002) 1675-1686.
    • (2002) Pattern Recognition Letters , vol.23 , pp. 1675-1686
    • Pedrycz, W.1
  • 34
    • 27344448931 scopus 로고    scopus 로고
    • Analytically traceable case of fuzzy C-means clustering
    • O.S. Piangkh, Analytically traceable case of fuzzy C-means clustering, Pattern Recognition 39 (2006) 35-46.
    • (2006) Pattern Recognition , vol.39 , pp. 35-46
    • Piangkh, O.S.1
  • 36
    • 14644429109 scopus 로고    scopus 로고
    • A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests
    • K.-L. Wu, J. Yu, M.-S. Yang, A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests, Pattern Recognition Letters 26 (2005) 639-652.
    • (2005) Pattern Recognition Letters , vol.26 , pp. 639-652
    • Wu, K.-L.1    Yu, J.2    Yang, M.-S.3
  • 37
    • 0000556701 scopus 로고    scopus 로고
    • Optimization methods for fuzzy clustering
    • F. Guoyao, Optimization methods for fuzzy clustering, Fuzzy Sets and Systems 93 (1998) 301-309.
    • (1998) Fuzzy Sets and Systems , vol.93 , pp. 301-309
    • Guoyao, F.1
  • 42
    • 85030576351 scopus 로고    scopus 로고
    • Learning fuzzy concept hierarchy and measurement with node labeling
    • Springer Science+Business, Media, LLC2008
    • B.-C. Chien, C.-H. Hu, M.-Y. Ju, Learning fuzzy concept hierarchy and measurement with node labeling, Inf. Syst. Front, Springer Science+Business, Media, LLC2008.
    • Inf. Syst. Front
    • Chien, B.-C.1    Hu, C.-H.2    Ju, M.-Y.3
  • 43
    • 43249104202 scopus 로고    scopus 로고
    • Cluster analysis based on fuzzy quotient space
    • X.-Q. Tang, P. Zhu, J.-X. Cheng, Cluster analysis based on fuzzy quotient space, Chinese Journal of Software 19 (4) (2008) 861-868.
    • (2008) Chinese Journal of Software , vol.19 , Issue.4 , pp. 861-868
    • Tang, X.-Q.1    Zhu, P.2    Cheng, J.-X.3
  • 44
    • 72449196108 scopus 로고    scopus 로고
    • Study on fuzzy granular space based on normalized equicrural metric
    • (in Chinese)
    • X.-Q. Tang, P. Zhu, J.-X. Cheng, Study on fuzzy granular space based on normalized equicrural metric, Computer Science 35 (4) (2008) 142-145 (in Chinese).
    • (2008) Computer Science , vol.35 , Issue.4 , pp. 142-145
    • Tang, X.-Q.1    Zhu, P.2    Cheng, J.-X.3
  • 45
    • 34147214149 scopus 로고    scopus 로고
    • Theory of α-truth degrees in n-valued Godel propositional logic
    • (in Chinese)
    • J. Li, G.-J. Wang, Theory of α-truth degrees in n-valued Godel propositional logic, Chinese Journal of Software 18 (1) (2007) 33-39 (in Chinese).
    • (2007) Chinese Journal of Software , vol.18 , Issue.1 , pp. 33-39
    • Li, J.1    Wang, G.-J.2
  • 46
    • 1342329690 scopus 로고
    • Higher Education Press (China), Beijing, (in Chinese)
    • Z.-Z. Guan, Lecture on Functional Analysis, Higher Education Press (China), Beijing, 1958 (in Chinese).
    • (1958) Lecture on Functional Analysis
    • Guan, Z.-Z.1
  • 47
    • 70349684897 scopus 로고    scopus 로고
    • Consistency clustering: A robust algorithm for group-wise registration, segmentation and automatic atlas construction in diffusion MRI
    • published online: 26 March, Springer Science+Business, Media, LLC2009
    • U. Ziyan, M.R. Sabuncu, W.E.L. Grimson, C.-F. Westin, Consistency clustering: a robust algorithm for group-wise registration, segmentation and automatic atlas construction in diffusion MRI, Int. J. Comput. Vir., published online: 26 March 2009, Springer Science+Business, Media, LLC2009.
    • (2009) Int. J. Comput. Vir.
    • Ziyan, U.1    Sabuncu, M.R.2    Grimson, W.E.L.3    Westin, C.-F.4
  • 49
    • 0003107273 scopus 로고
    • Application of fuzzy ISODATA algorithms to star-trackerpointing systems
    • Helsinki
    • R. Gunderson, Application of fuzzy ISODATA algorithms to star-trackerpoint- ing systems, in: Proceedings of 7th Triannual World IFAC Congress, Helsinki, 1978, pp. 1319-1323.
    • (1978) Proceedings of 7th Triannual World IFAC Congress , pp. 1319-1323
    • Gunderson, R.1
  • 51
    • 0000180545 scopus 로고
    • Fuzzy clustering algorithms based on the maximum likehood principle
    • E. Trauwert, L. Kaufman, P. Rousseeuw, Fuzzy clustering algorithms based on the maximum likehood principle, Fuzzy Sets and Systems 42 (1991) 213-227.
    • (1991) Fuzzy Sets and Systems , vol.42 , pp. 213-227
    • Trauwert, E.1    Kaufman, L.2    Rousseeuw, P.3
  • 53
    • 4544367326 scopus 로고    scopus 로고
    • FCM-based model selection algorithms for determining the number of clusters
    • H. Sun, S. Wang, Q. Jiang, FCM-based model selection algorithms for determining the number of clusters, Pattern Recognition 37 (2004) 20272037.
    • (2004) Pattern Recognition , vol.37 , pp. 20272037
    • Sun, H.1    Wang, S.2    Jiang, Q.3
  • 54
    • 4544263146 scopus 로고    scopus 로고
    • On cluster validity index for estimation of optimal number of fuzzy clusters
    • D.W. Kim, K.H. Lee, D. Lee, On cluster validity index for estimation of optimal number of fuzzy clusters, Pattern Recognition 37 (2004) 2009-2024.
    • (2004) Pattern Recognition , vol.37 , pp. 2009-2024
    • Kim, D.W.1    Lee, K.H.2    Lee, D.3
  • 55
    • 9744255892 scopus 로고    scopus 로고
    • The search scope of optimal cluster number in fuzzy clustering methods
    • (in Chinese)
    • J. Yu, Q.-S. Cheng, The search scope of optimal cluster number in fuzzy clustering methods, Science in China (Series E) 32 (4) (2002) 274-280 (in Chinese).
    • (2002) Science in China (Series E) , vol.32 , Issue.4 , pp. 274-280
    • Yu, J.1    Cheng, Q.-S.2
  • 57
    • 0029360028 scopus 로고
    • On cluster validity for the fuzzy C-mean model
    • N.R. Pal, J.C. Bezdek, On cluster validity for the fuzzy C-mean model, IEEE Transactions on Fuzzy System 3 (3) (1995) 370-379.
    • (1995) IEEE Transactions on Fuzzy System , vol.3 , Issue.3 , pp. 370-379
    • Pal, N.R.1    Bezdek, J.C.2
  • 58
    • 33846157172 scopus 로고    scopus 로고
    • A hybrid fuzzy optimization approach to customer grouping-based logistics distribution to operations
    • J. Sheu, A hybrid fuzzy optimization approach to customer grouping-based logistics distribution to operations, Applied Mathematical Modeling 31 (2007) 1048-1066.
    • (2007) Applied Mathematical Modeling , vol.31 , pp. 1048-1066
    • Sheu, J.1
  • 60
    • 0015644823 scopus 로고
    • Cluster validity with fuzzy sets
    • J.C. Bezdek, Cluster validity with fuzzy sets, Journal of Cybernetics 3 (3) (1974) 58-73.
    • (1974) Journal of Cybernetics , vol.3 , Issue.3 , pp. 58-73
    • Bezdek, J.C.1
  • 62
    • 0001702254 scopus 로고
    • Cluster validity for fuzzy clustering algorithms
    • M.P. Windham, Cluster validity for fuzzy clustering algorithms, Fuzzy Sets and Systems 5 (1981) 177-185.
    • (1981) Fuzzy Sets and Systems , vol.5 , pp. 177-185
    • Windham, M.P.1
  • 64
    • 0001404416 scopus 로고
    • A new method of choosing the number of clusters for the fuzzy C means method
    • Y. Fukuyama, M. Sugeno, A new method of choosing the number of clusters for the fuzzy C means method, in: Proceedings of 5th Fuzzy Systems Symposium, 1989, pp. 247-250.
    • (1989) Proceedings of 5th Fuzzy Systems Symposium , pp. 247-250
    • Fukuyama, Y.1    Sugeno, M.2
  • 66
    • 0037341749 scopus 로고    scopus 로고
    • Information clustering based on fuzzy multi-sets
    • S. Miyamoto, Information clustering based on fuzzy multi-sets. Information and Management 39 (2003) 195-213.
    • (2003) Information and Management , vol.39 , pp. 195-213
    • Miyamoto, S.1
  • 67
    • 62549097343 scopus 로고    scopus 로고
    • A fuzzy Clustering based hybrid method for a multi- facility location problem
    • S. Esnaf, T. Kiiciikdeniz, A fuzzy Clustering based hybrid method for a multi- facility location problem, Journal of Intelligent Manufacturing 20 (2009) 259-265.
    • (2009) Journal of Intelligent Manufacturing , vol.20 , pp. 259-265
    • Esnaf, S.1    Kiiciikdeniz, T.2
  • 68
    • 33847292451 scopus 로고    scopus 로고
    • Evaluating the flexibility in a manufacturing system using fuzzy multi-attribute group decision-making with multi-granularity linguistic information
    • S.-J. Shuu, Evaluating the flexibility in a manufacturing system using fuzzy multi-attribute group decision-making with multi-granularity linguistic information, International Journal of Advanced Manufacturing Technology 32 (2007) 409-421.
    • (2007) International Journal of Advanced Manufacturing Technology , vol.32 , pp. 409-421
    • Shuu, S.-J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.