메뉴 건너뛰기




Volumn 1, Issue 1, 2011, Pages 64-72

Rough clustering

Author keywords

[No Author keywords available]

Indexed keywords

CONFORMAL MAPPING; DATA MINING; GENETIC ALGORITHMS; MEDICAL IMAGING; ROUGH SET THEORY; SELF ORGANIZING MAPS;

EID: 84864757317     PISSN: 19424787     EISSN: 19424795     Source Type: Journal    
DOI: 10.1002/widm.16     Document Type: Article
Times cited : (72)

References (40)
  • 5
    • 3042712702 scopus 로고    scopus 로고
    • Rough clustering and its application to medicine
    • Hirano S, Tsumoto S. Rough clustering and its application to medicine. Inform Sci 2000, 124:125-137.
    • (2000) Inform Sci , vol.124 , pp. 125-137
    • Hirano, S.1    Tsumoto, S.2
  • 6
    • 67749104022 scopus 로고    scopus 로고
    • On constructing clusters from non-Euclidean dissimilarity matrix by using rough clustering
    • Kitakyushu City, Japan
    • Hirano S, Tsumoto S. On constructing clusters from non-Euclidean dissimilarity matrix by using rough clustering. JSAI Workshops. Kitakyushu City, Japan, 2005; 5-16.
    • (2005) JSAI Workshops , pp. 5-16
    • Hirano, S.1    Tsumoto, S.2
  • 7
    • 0036471411 scopus 로고    scopus 로고
    • Nonhierarchical document clustering by a tolerance rough set model
    • Ho TB, Nguyen NB. Nonhierarchical document clustering by a tolerance rough set model. Int J Intell Syst 2002, 17:199-212.
    • (2002) Int J Intell Syst , vol.17 , pp. 199-212
    • Ho, T.B.1    Nguyen, N.B.2
  • 8
    • 0035416470 scopus 로고    scopus 로고
    • Unsupervised rough set classification using GAs
    • Lingras P. Unsupervised rough set classification using GAs. J Intell Inform Syst 2001, 16:215-228.
    • (2001) J Intell Inform Syst , vol.16 , pp. 215-228
    • Lingras, P.1
  • 9
    • 67749139464 scopus 로고    scopus 로고
    • Rough cluster quality index based on decision theory
    • Lingras P, Chen M, Miao D. Rough cluster quality index based on decision theory. IEEE Trans Knowledge Data Eng 2009, 21:1014-1026.
    • (2009) IEEE Trans Knowledge Data Eng , vol.21 , pp. 1014-1026
    • Lingras, P.1    Chen, M.2    Miao, D.3
  • 10
    • 11144312947 scopus 로고    scopus 로고
    • Interval set clustering of web users using modified Kohonen self-organizing maps based on the properties of rough sets
    • Lingras P, Hogo M, Snorek M. Interval set clustering of web users using modified Kohonen self-organizing maps based on the properties of rough sets. Web Intell Agent Syst Int J 2004, 2:217-230.
    • (2004) Web Intell Agent Syst Int J , vol.2 , pp. 217-230
    • Lingras, P.1    Hogo, M.2    Snorek, M.3
  • 11
    • 3042789571 scopus 로고    scopus 로고
    • Interval set clustering of web users with rough k-means
    • Lingras P, West C. Interval set clustering of web users with rough k-means. J Intell Inform Syst 2004, 23:5-16.
    • (2004) J Intell Inform Syst , vol.23 , pp. 5-16
    • Lingras, P.1    West, C.2
  • 12
    • 36749070903 scopus 로고    scopus 로고
    • Rough set based generalized fuzzy cmeans algorithm and quantitative indices
    • Maji P, Pal SK. Rough set based generalized fuzzy cmeans algorithm and quantitative indices. IEEE Trans Syst Man Cybern B 2007, 37:1529-1540.
    • (2007) IEEE Trans Syst Man Cybern B , vol.37 , pp. 1529-1540
    • Maji, P.1    Pal, S.K.2
  • 13
    • 36649023533 scopus 로고    scopus 로고
    • RFCM: a hybrid clustering algorithm using rough and fuzzy sets
    • Maji P, Pal SK. RFCM: a hybrid clustering algorithm using rough and fuzzy sets. Fundam Informaticae 2007, 80:477-498.
    • (2007) Fundam Informaticae , vol.80 , pp. 477-498
    • Maji, P.1    Pal, S.K.2
  • 14
    • 4544352979 scopus 로고    scopus 로고
    • An evolutionary rough partitive clustering
    • Mitra S. An evolutionary rough partitive clustering. Pattern Recognit Lett 2004, 25:1439-1449.
    • (2004) Pattern Recognit Lett , vol.25 , pp. 1439-1449
    • Mitra, S.1
  • 16
    • 33646419553 scopus 로고    scopus 로고
    • Some refinements of rough k-means
    • Peters G. Some refinements of rough k-means. Pattern Recognit 2006, 39:1481-1491.
    • (2006) Pattern Recognit , vol.39 , pp. 1481-1491
    • Peters, G.1
  • 21
    • 84963133436 scopus 로고
    • Rough fuzzy sets and fuzzy rough sets
    • Dubois D, Prade H. Rough fuzzy sets and fuzzy rough sets. Int J Gen Syst 1990, 17:191-209.
    • (1990) Int J Gen Syst , vol.17 , pp. 191-209
    • Dubois, D.1    Prade, H.2
  • 22
    • 0016459349 scopus 로고
    • The concept of linguistic variable and its application to approximate reasoning
    • 8:199-249; II:1975, 8:310-357; III: 1975, 9:43-80
    • Zadeh LA. The concept of linguistic variable and its application to approximate reasoning. Information Sciences, I: 1975, 8:199-249; II:1975, 8:310-357; III: 1975, 9:43-80.
    • (1975) Information Sciences , vol.1
    • Zadeh, L.A.1
  • 23
    • 0000319276 scopus 로고    scopus 로고
    • Generalization of rough sets using modal logic
    • Yao YY, Lin TY. Generalization of rough sets using modal logic. Intell Autom Soft Comput 1996, 2:103-120.
    • (1996) Intell Autom Soft Comput , vol.2 , pp. 103-120
    • Yao, Y.Y.1    Lin, T.Y.2
  • 24
    • 0032142371 scopus 로고    scopus 로고
    • Constructive and algebraic methods of the theory of rough sets
    • Yao YY. Constructive and algebraic methods of the theory of rough sets. Inform Sci 1998, 109:21-47.
    • (1998) Inform Sci , vol.109 , pp. 21-47
    • Yao, Y.Y.1
  • 25
    • 0000494080 scopus 로고    scopus 로고
    • Rough mereology: a new paradigm for approximate reasoning
    • Polkowski L, Skowron A. Rough mereology: a new paradigm for approximate reasoning. Int J Approximate Reason 1996, 15:333-365.
    • (1996) Int J Approximate Reason , vol.15 , pp. 333-365
    • Polkowski, L.1    Skowron, A.2
  • 28
    • 0001457509 scopus 로고    scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • June 21-July 18 1965 and December 27 1965-January 7, 1966. Berkeley, California, 1 1967
    • MacQueen J. Some methods for classification and analysis of multivariate observations. Proceedings of Fifth Berkeley Symposium on Mathematical Statistics and Probability, June 21-July 18 1965 and December 27 1965-January 7, 1966. Berkeley, California, 1 1967. pp. 281-297.
    • Proceedings of Fifth Berkeley Symposium on Mathematical Statistics and Probability , pp. 281-297
    • MacQueen, J.1
  • 30
    • 84945789945 scopus 로고
    • The estimation of the parameters of a linear regression system obeying two separate regimes
    • Quandt R. The estimation of the parameters of a linear regression system obeying two separate regimes. J Am Stat Assoc 1958, 53:873-880.
    • (1958) J Am Stat Assoc , vol.53 , pp. 873-880
    • Quandt, R.1
  • 32
    • 50949130691 scopus 로고    scopus 로고
    • Evolutionary rough k-medoid clustering
    • Peters G, Lampart M, Weber R. Evolutionary rough k-medoid clustering. Trans Rough Sets 2008, VIII: 289-306.
    • (2008) Trans Rough Sets , vol.8 , pp. 289-306
    • Peters, G.1    Lampart, M.2    Weber, R.3
  • 36
    • 84873193051 scopus 로고    scopus 로고
    • Rough clustering: an alternative to find meaningful clusters by using the reducts from a dataset
    • do Prado HA, Engel PM, Filho HC. Rough clustering: an alternative to find meaningful clusters by using the reducts from a dataset. Proceedings RSCTC'02, LNAI 2002, 2475:234-238.
    • (2002) Proceedings RSCTC'02, LNAI , vol.2475 , pp. 234-238
    • do Prado, H.A.1    Engel, P.M.2    Filho, H.C.3
  • 37
    • 34447341411 scopus 로고    scopus 로고
    • Cluster analysis of marketing data examining on-line shopping orientation: a comparison of k-means and rough clustering approaches
    • Abbass HA, Sarker RA, Newton CS, eds. Hershey, PA: Idea Group Publishing
    • Voges KE, Pope NK, Brown MR. Cluster analysis of marketing data examining on-line shopping orientation: a comparison of k-means and rough clustering approaches. In: Abbass HA, Sarker RA, Newton CS, eds. Heuristics and Optimization for Knowledge Discovery. Hershey, PA: Idea Group Publishing; 2002, 208-225.
    • (2002) Heuristics and Optimization for Knowledge Discovery , pp. 208-225
    • Voges, K.E.1    Pope, N.K.2    Brown, M.R.3
  • 40
    • 18144396167 scopus 로고    scopus 로고
    • Temporal analysis of clusters of supermarket customers: conventional versus interval set approach
    • Lingras P, Hogo M, Snorek M, West C. Temporal analysis of clusters of supermarket customers: conventional versus interval set approach. Inform Sci 2005, 172:215-240.
    • (2005) Inform Sci , vol.172 , pp. 215-240
    • Lingras, P.1    Hogo, M.2    Snorek, M.3    West, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.