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Volumn 21, Issue 2, 2006, Pages 251-269

A robust fuzzy k-means clustering model for interval valued data

Author keywords

Fuzzy k means; Interval valued data; Noise center; Noise cluster; Noise radius; Robust clustering

Indexed keywords


EID: 33750166670     PISSN: 09434062     EISSN: 16139658     Source Type: Journal    
DOI: 10.1007/s00180-006-0262-y     Document Type: Article
Times cited : (38)

References (49)
  • 4
    • 33750203953 scopus 로고    scopus 로고
    • Criterion-based divisive clustering for symbolic objects
    • eds. Bock, H.H., & Diday, E. Springer-Verlag
    • Chavent, M., (2000) Criterion-based divisive clustering for symbolic objects, in Analysis of Symbolic Data (eds. Bock, H.H., & Diday, E.), Springer-Verlag,
    • (2000) Analysis of Symbolic Data
    • Chavent, M.1
  • 5
    • 0012393548 scopus 로고    scopus 로고
    • Dynamical clustering algorithm of interval data: Optimization of an adequacy criterion based on Hausdorff distance
    • eds. Jajuga, K., Sokolowski, A. & Bock, H.H., Springer, Heidelberg
    • Heidelberg.Chavent, M., & Lechevallier, Y., (2002) Dynamical clustering algorithm of interval data: optimization of an adequacy criterion based on Hausdorff distance, in: Classification, Clustering and Data Analysis (eds. Jajuga, K., Sokolowski, A. & Bock, H.H.,), Springer, Heidelberg, 53-59.
    • (2002) Classification, Clustering and Data Analysis , pp. 53-59
    • Chavent, M.1    Lechevallier, Y.2
  • 6
    • 33750175987 scopus 로고    scopus 로고
    • Trois nouvelles méthodes de classification automatique de données symboliques de type intervalle
    • Chavent, M., De Carvalho, F.A.T., Lechevallier, Y., & Verde, R., (2003) Trois nouvelles méthodes de classification automatique de données symboliques de type intervalle, Revue de Statistiques Appliquées, 51 (4), 5-29.
    • (2003) Revue de Statistiques Appliquées , vol.51 , Issue.4 , pp. 5-29
    • Chavent, M.1    De Carvalho, F.A.T.2    Lechevallier, Y.3    Verde, R.4
  • 7
    • 33750188844 scopus 로고    scopus 로고
    • An Hausdorff distance between hyper-rectangles for clustering interval data
    • eds. Banks, D., House, L., McMorris, F. R., Arabie, P. & Gaul, W. Springer, Heidelberg
    • Chavent, M., (2004) An Hausdorff distance between hyper-rectangles for clustering interval data, in Classification, Clustering and Data Mining Applications (eds. Banks, D., House, L., McMorris, F. R., Arabie, P. & Gaul, W.), Springer, Heidelberg, 333-340.
    • (2004) Classification, Clustering and Data Mining Applications , pp. 333-340
    • Chavent, M.1
  • 8
    • 27644501576 scopus 로고    scopus 로고
    • Fuzzy clustering for data time arrays with inlier and outlier time trajectories
    • D'Urso, P., (2005) Fuzzy clustering for data time arrays with inlier and outlier time trajectories, IEEE Transactions on Fuzzy Systems, 13 (5), 583-604.
    • (2005) IEEE Transactions on Fuzzy Systems , vol.13 , Issue.5 , pp. 583-604
    • D'Urso, P.1
  • 9
    • 1142285268 scopus 로고    scopus 로고
    • A least squares approach to principal component analysis for interval valued data
    • D'Urso, P., & Giordani, P., (2004) A least squares approach to principal component analysis for interval valued data, Chemometrics and Intelligent Laboratory Systems, 70, 179-192.
    • (2004) Chemometrics and Intelligent Laboratory Systems , vol.70 , pp. 179-192
    • D'Urso, P.1    Giordani, P.2
  • 10
    • 27744444692 scopus 로고    scopus 로고
    • A weighted fuzzy c-means clustering model for fuzzy data
    • D'Urso, P., & Giordani, P., (2006) A weighted fuzzy c-means clustering model for fuzzy data, Computational Statistics & Data Analysis, 50, 1496-1523.
    • (2006) Computational Statistics & Data Analysis , vol.50 , pp. 1496-1523
    • D'Urso, P.1    Giordani, P.2
  • 11
    • 0042241641 scopus 로고
    • Proximity coefficients between Boolean symbolic objects
    • eds. Diday, E., Lechevallier, Y., Schader, M., Bertrand, P., & Burtschy, B., Springer, Heidelberg
    • de Carvalho, F.A.T., (1994) Proximity coefficients between Boolean symbolic objects, in New Approaches in Classification and Data Analysis (eds. Diday, E., Lechevallier, Y., Schader, M., Bertrand, P., & Burtschy, B.,), Springer, Heidelberg, 387-394.
    • (1994) New Approaches in Classification and Data Analysis , pp. 387-394
    • De Carvalho, F.A.T.1
  • 16
    • 0000586827 scopus 로고
    • Characterization and detection of noise in clustering
    • Dave, R., (1991) Characterization and detection of noise in clustering, Pattern Recognition Letters, 12, 657-664.
    • (1991) Pattern Recognition Letters , vol.12 , pp. 657-664
    • Dave, R.1
  • 17
    • 0028482531 scopus 로고
    • Robust shape detection using fuzzy clustering: Practical applications
    • Dave, R., & Fu, T., (1994) Robust shape detection using fuzzy clustering: practical applications, Fuzzy Sets and Systems, 65, 161-185.
    • (1994) Fuzzy Sets and Systems , vol.65 , pp. 161-185
    • Dave, R.1    Fu, T.2
  • 19
    • 0036904021 scopus 로고    scopus 로고
    • Robust fuzzy clustering of relational data
    • Davè, R., & Sen, S., (2002) Robust fuzzy clustering of relational data, IEEE Transactions on Fuzzy Systems, 10 (6), 713-727.
    • (2002) IEEE Transactions on Fuzzy Systems , vol.10 , Issue.6 , pp. 713-727
    • Davè, R.1    Sen, S.2
  • 20
    • 0005900345 scopus 로고
    • Symbolic cluster analysis
    • ed. Opitz, O. Springer-Verlag, Heidelberg
    • Diday, E., & Brito, M.P., (1989) Symbolic cluster analysis, in Conceptual and Numerical Analysis of Data (ed. Opitz, O.), 45-84, Springer-Verlag, Heidelberg.
    • (1989) Conceptual and Numerical Analysis of Data , pp. 45-84
    • Diday, E.1    Brito, M.P.2
  • 24
    • 0346760234 scopus 로고    scopus 로고
    • An iterative relocation algorithm for classifying symbolic data
    • (eds. Gaul, W.; Opitz, O., Schader, M.,), Springer-Verlag, Heidelberg
    • Gordon, A.D., (2000) An iterative relocation algorithm for classifying symbolic data, in Data Analysis: Scientific Modeling and Practical Application (eds. Gaul, W.; Opitz, O., Schader, M.,), 17-23, Springer-Verlag, Heidelberg,
    • (2000) Data Analysis: Scientific Modeling and Practical Application , pp. 17-23
    • Gordon, A.D.1
  • 25
    • 0025902445 scopus 로고
    • Symbolic clustering using a new dissimilarity measure
    • Gowda, K.C., & Diday, E., (1991) Symbolic clustering using a new dissimilarity measure, Pattern Recognition, 24 (6), 567-578.
    • (1991) Pattern Recognition , vol.24 , Issue.6 , pp. 567-578
    • Gowda, K.C.1    Diday, E.2
  • 27
    • 0029359322 scopus 로고
    • Divisive clustering of symbolic objects using the concepts of both similarity and dissimilarity
    • Gowda, K.C., & Ravi, T.R., (1995a) Divisive clustering of symbolic objects using the concepts of both similarity and dissimilarity, Pattern Recognition, 28 (8), 1277-1282.
    • (1995) Pattern Recognition , vol.28 , Issue.8 , pp. 1277-1282
    • Gowda, K.C.1    Ravi, T.R.2
  • 28
    • 0029326165 scopus 로고
    • Agglomerative clustering of symbolic objects using the concepts of both similarity and dissimilarity
    • Gowda, K.C., & Ravi, T.R., (1995b) Agglomerative clustering of symbolic objects using the concepts of both similarity and dissimilarity, Pattern recognition Letters, 16, 647-652.
    • (1995) Pattern Recognition Letters , vol.16 , pp. 647-652
    • Gowda, K.C.1    Ravi, T.R.2
  • 30
    • 0032741727 scopus 로고    scopus 로고
    • An ISODATA clustering procedure for symbolic objects using a distributed genetic algorithm
    • Gowda, K.C., & Ravi, T.R., (1999b) An ISODATA clustering procedure for symbolic objects using a distributed genetic algorithm, Pattern Recognition Letters, 20, 659-666.
    • (1999) Pattern Recognition Letters , vol.20 , pp. 659-666
    • Gowda, K.C.1    Ravi, T.R.2
  • 31
    • 2942618322 scopus 로고    scopus 로고
    • Multivalued type proximity measure and concept of mutual similarity value useful for clustering symbolic patterns
    • Guru, D.S., Kiranagi, B.B., & Nagabhushan, P., (2004) Multivalued type proximity measure and concept of mutual similarity value useful for clustering symbolic patterns, Pattern Recognition Letters, 25, 1203-1213.
    • (2004) Pattern Recognition Letters , vol.25 , pp. 1203-1213
    • Guru, D.S.1    Kiranagi, B.B.2    Nagabhushan, P.3
  • 34
    • 0028408227 scopus 로고
    • Generalized Minkowsky metrics for mixed feature-type data analysis
    • Ichino, M., & Yaguchi, H., (1994) Generalized Minkowsky metrics for mixed feature-type data analysis, IEEE Transaction of Systems, Man and Cybernetics, 24 (4), 698-708.
    • (1994) IEEE Transaction of Systems, Man and Cybernetics , vol.24 , Issue.4 , pp. 698-708
    • Ichino, M.1    Yaguchi, H.2
  • 35
    • 0033281059 scopus 로고    scopus 로고
    • Fuzzy order statistics and their application to fuzzy clustering
    • Kersten, P.R., (1999) Fuzzy order statistics and their application to fuzzy clustering, IEEE Transactions on Fuzzy Systems, 7 (6), 708-712.
    • (1999) IEEE Transactions on Fuzzy Systems , vol.7 , Issue.6 , pp. 708-712
    • Kersten, P.R.1
  • 37
    • 0043226699 scopus 로고    scopus 로고
    • Application of the least trimmed squares techniques to prototype-based clustering
    • Kim, J., Krishnapuram, R., & Davé, R.N., (1996) Application of the least trimmed squares techniques to prototype-based clustering, Pattern Recognition Letters, 17, 633-641.
    • (1996) Pattern Recognition Letters , vol.17 , pp. 633-641
    • Kim, J.1    Krishnapuram, R.2    Davé, R.N.3
  • 39
    • 0030214781 scopus 로고    scopus 로고
    • The possibilistic c-means algorithm: Insights and recommendations
    • Krishnapuram, R., & Keller, J., (1996) The possibilistic c-means algorithm: insights and recommendations, IEEE Transactions on Fuzzy Systems, 4, 385-393.
    • (1996) IEEE Transactions on Fuzzy Systems , vol.4 , pp. 385-393
    • Krishnapuram, R.1    Keller, J.2
  • 40
    • 0037534035 scopus 로고    scopus 로고
    • Towards a robust fuzzy clustering
    • Leşki, J.M., (2003) Towards a robust fuzzy clustering, Fuzzy Sets and Systems, 137, 215-233.
    • (2003) Fuzzy Sets and Systems , vol.137 , pp. 215-233
    • Leşki, J.M.1
  • 41
    • 0042341570 scopus 로고    scopus 로고
    • Clustering and its validation in a symbolic framework
    • Mali, K., & Mitra S., (2003) Clustering and its validation in a symbolic framework, Pattern Recognition Letters, 24, 2367-2376.
    • (2003) Pattern Recognition Letters , vol.24 , pp. 2367-2376
    • Mali, K.1    Mitra, S.2
  • 42
    • 0005041048 scopus 로고
    • Fuzzy clustering and robust estimation
    • Hollywood Beach
    • Ohashi, Y., (1984) Fuzzy clustering and robust estimation, in 9th Meeting SAS Users Group Int., Hollywood Beach.
    • (1984) 9th Meeting SAS Users Group Int.
    • Ohashi, Y.1
  • 43
    • 0029415780 scopus 로고
    • A conceptual version of the k-means algorithm
    • Ralambondrainy, H., (1995) A conceptual version of the k-means algorithm, Pattern Recognition Letters, 16, 1147-1157.
    • (1995) Pattern Recognition Letters , vol.16 , pp. 1147-1157
    • Ralambondrainy, H.1
  • 44
    • 0021644148 scopus 로고
    • Soft clustering of multidimensional data: A semi-fuzzy approach
    • Selim, S.Z., & Ismail, M.A., (1984) Soft clustering of multidimensional data: a semi-fuzzy approach, Pattern Recognition, 17 (5), 559-568.
    • (1984) Pattern Recognition , vol.17 , Issue.5 , pp. 559-568
    • Selim, S.Z.1    Ismail, M.A.2
  • 45
    • 0346778567 scopus 로고    scopus 로고
    • Fuzzy clustering algorithms for mixed feature variables
    • Yang, M.S., Hwang, P.Y., & Chen, D.H., (2004) Fuzzy clustering algorithms for mixed feature variables, Fuzzy Sets and Systems, 141, 301-317.
    • (2004) Fuzzy Sets and Systems , vol.141 , pp. 301-317
    • Yang, M.S.1    Hwang, P.Y.2    Chen, D.H.3
  • 46
    • 0002906641 scopus 로고    scopus 로고
    • On a class of fuzzy c-numbers clustering procedures for fuzzy data
    • Yang, M.S., & Ko, C.H., (1996) On a class of fuzzy c-numbers clustering procedures for fuzzy data, Fuzzy Sets and Systems, 84, 49-60.
    • (1996) Fuzzy Sets and Systems , vol.84 , pp. 49-60
    • Yang, M.S.1    Ko, C.H.2
  • 47
    • 0001258734 scopus 로고    scopus 로고
    • Fuzzy clustering procedures for conical fuzzy vector data
    • Yang, M.S., & Liu, H.H., (1999) Fuzzy clustering procedures for conical fuzzy vector data, Fuzzy Sets and Systems, 106, 189-200.
    • (1999) Fuzzy Sets and Systems , vol.106 , pp. 189-200
    • Yang, M.S.1    Liu, H.H.2
  • 48
    • 0037117193 scopus 로고    scopus 로고
    • Fuzzy least-squares linear regression analysis for fuzzy input-output data
    • Yang, M.S., & Liu, T.S., (2002) Fuzzy least-squares linear regression analysis for fuzzy input-output data, Fuzzy Sets and Systems, 126, 389-399.
    • (2002) Fuzzy Sets and Systems , vol.126 , pp. 389-399
    • Yang, M.S.1    Liu, T.S.2


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