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Volumn 26, Issue 6, 2011, Pages 540-554

A class of dynamic rough partitive algorithms

Author keywords

[No Author keywords available]

Indexed keywords

BUSINESS OPPORTUNITIES; BUYING BEHAVIOR; CHANGING ENVIRONMENT; CLUSTER ALGORITHMS; DATA ENVIRONMENT; DYNAMIC CLUSTERING ALGORITHM; DYNAMIC EXTENSION; RETAIL INDUSTRY;

EID: 79955426098     PISSN: 08848173     EISSN: 1098111X     Source Type: Journal    
DOI: 10.1002/int.20483     Document Type: Conference Paper
Times cited : (4)

References (28)
  • 3
    • 0003563798 scopus 로고    scopus 로고
    • Theory and projects, 2nd edition. Berlin, Germany: Springer-Verlag
    • de Wilde P., Neural network models. Theory and projects, 2nd edition. Berlin, Germany: Springer-Verlag; 1997.
    • (1997) Neural Network Models
    • De Wilde, P.1
  • 6
    • 11244353294 scopus 로고    scopus 로고
    • A methodology for dynamic data mining based on fuzzy clustering
    • DOI 10.1016/j.fss.2004.03.028, PII S016501140400140X
    • Crespo F, Weber R,. A methodology for dynamic data mining based on fuzzy clustering. Fuzzy Sets Syst 2005; 150: 267-284. (Pubitemid 40056021)
    • (2005) Fuzzy Sets and Systems , vol.150 , Issue.2 , pp. 267-284
    • Crespo, F.1    Weber, R.2
  • 7
    • 84889322958 scopus 로고    scopus 로고
    • In: Valente de Oliveira J., Pedrycz W., editors. Advances in fuzzy clustering and its applications. Hoboken, NJ: Wiley
    • Weber R,. Fuzzy clustering in dynamic data mining-techniques and applications. In:, Valente de Oliveira J, Pedrycz W, editors. Advances in fuzzy clustering and its applications. Hoboken, NJ: Wiley; 2007. pp 315-332.
    • (2007) Fuzzy Clustering in Dynamic Data Mining-techniques and Applications , pp. 315-332
    • Weber, R.1
  • 8
    • 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
  • 9
    • 4544248169 scopus 로고    scopus 로고
    • Technical Report 2002-002, Department of Mathematics and Computer Science, St. Mary's University, Halifax, Canada
    • Lingras P, West C,. Interval set clustering of web users with rough k-means. Technical Report 2002-002, Department of Mathematics and Computer Science, St. Mary's University, Halifax, Canada; 2002.
    • (2002) Interval Set Clustering of Web Users with Rough K-means
    • Lingras, P.1    West, C.2
  • 10
    • 8344234993 scopus 로고    scopus 로고
    • Comparison of Conventional and Rough K-Means Clustering
    • Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
    • Lingras P, Yan R, West C,. Comparison of conventional and rough k-means clustering. In: Int Conf on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. Lecture Notes in Artificial Intelligence 2003;2639; 130-137. (Pubitemid 36657945)
    • (2003) Lecture Notes in Computer Science , Issue.2639 , pp. 130-137
    • Lingras, P.1    Yan, R.2    West, C.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
    • 0001375356 scopus 로고    scopus 로고
    • Two views of the theory of rough sets in finite universes
    • PII S0888613X96000716
    • Yao YY,. Two views of the theory of rough sets in finite universes. Int J Approxi Reason 1996; 15: 291-317. (Pubitemid 126414908)
    • (1996) International Journal of Approximate Reasoning , vol.15 , Issue.4 SPEC. ISS. , pp. 291-317
    • Yao, Y.Y.1
  • 13
    • 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
  • 15
    • 78549284769 scopus 로고    scopus 로고
    • Evolutionary rough k-medoids clustering
    • Peters G, Lampart M, Weber R,. Evolutionary rough k-medoids clustering. Trans Rough Sets 2008; 8: 289-306.
    • (2008) Trans Rough Sets , vol.8 , pp. 289-306
    • Peters, G.1    Lampart, M.2    Weber, R.3
  • 18
    • 0000102199 scopus 로고
    • A test for a change in a parameter occurring at an unknown point
    • Page E,. A test for a change in a parameter occurring at an unknown point. Biometrika 1955; 42: 523-527.
    • (1955) Biometrika , vol.42 , pp. 523-527
    • Page, E.1
  • 19
    • 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
  • 20
    • 34250190211 scopus 로고    scopus 로고
    • Development and inequality: Evidence from an endogenous switching regression without regime separation
    • Chen Z,. Development and inequality: evidence from an endogenous switching regression without regime separation. Econ Lett 2007; 2: 269-274.
    • (2007) Econ Lett , vol.2 , pp. 269-274
    • Chen, Z.1
  • 21
    • 0000018319 scopus 로고
    • Economic and environmental implications of soil nitrogen testing: A switching-regression analysis
    • Fuglie K, Bosch D,. Economic and environmental implications of soil nitrogen testing: a switching-regression analysis. Am J Agric Econ 1995; 77: 891-900.
    • (1995) Am J Agric Econ , vol.77 , pp. 891-900
    • Fuglie, K.1    Bosch, D.2
  • 22
    • 34249975324 scopus 로고
    • A switching regression model with different change-points for individual coefficients and its application to the energy demand equations for Japan
    • Toyoda T, Ohtani K,. A switching regression model with different change-points for individual coefficients and its application to the energy demand equations for Japan. Empir Econ 1989; 14 (2): 93-103.
    • (1989) Empir Econ , vol.14 , Issue.2 , pp. 93-103
    • Toyoda, T.1    Ohtani, K.2
  • 23
    • 0036905922 scopus 로고    scopus 로고
    • Fuzzy clustering with volume prototypes and adaptive cluster merging
    • Kaymak U, Setnes M,. Fuzzy clustering with volume prototypes and adaptive cluster merging. IEEE Trans Fuzzy Syst 2002; 10 (6): 705-712.
    • (2002) IEEE Trans Fuzzy Syst , vol.10 , Issue.6 , pp. 705-712
    • Kaymak, U.1    Setnes, M.2
  • 28
    • 0001702254 scopus 로고
    • Cluster validity for fuzzy clustering algorithms
    • Windham M,. Cluster validity for fuzzy clustering algorithms. Fuzzy Sets Syst 1981; 5: 177-185.
    • (1981) Fuzzy Sets Syst , vol.5 , pp. 177-185
    • Windham, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.