메뉴 건너뛰기




Volumn 39, Issue 6, 2009, Pages 1295-1306

Dynamic clustering of interval-valued data based on adaptive quadratic distances

Author keywords

Adaptive quadratic distances; Cluster interpretation indexes; Clustering analysis; Partition interpretation indexes; Symbolic interval data analysis

Indexed keywords

ADAPTIVE CLUSTERING; ADEQUACY CRITERION; CLUSTERING ANALYSIS; DYNAMIC CLUSTERING; DYNAMIC CLUSTERING METHODS; INTERPRETATION TOOLS; INTERVAL DATA; INTERVAL-VALUED DATA;

EID: 77955070229     PISSN: 10834427     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCA.2009.2030167     Document Type: Article
Times cited : (36)

References (30)
  • 2
  • 4
    • 41149137601 scopus 로고    scopus 로고
    • A clustering-based approach for integrating document-category hierarchies
    • Mar
    • T.-H. Cheng and C.-P. Wei, "A clustering-based approach for integrating document-category hierarchies", IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 38, no. 2, pp. 410-424, Mar. 2008.
    • (2008) IEEE Trans. Syst., Man, Cybern. A, Syst., Humans , vol.38 , Issue.2 , pp. 410-424
    • Cheng, T.-H.1    Wei, C.-P.2
  • 5
    • 54949090814 scopus 로고    scopus 로고
    • Automatic clustering using an improved differential evolution algorithm
    • Jan
    • S. Das, A. Abraham, and A. Konar, "Automatic clustering using an improved differential evolution algorithm", IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 38, no. 1, pp. 218-237, Jan. 2008.
    • (2008) IEEE Trans. Syst., Man, Cybern. A, Syst., Humans , vol.38 , Issue.1 , pp. 218-237
    • Das, S.1    Abraham, A.2    Konar, A.3
  • 6
    • 84893405732 scopus 로고    scopus 로고
    • Clustering: A review
    • A. Jain, M. Murty, and P. Flynn, "Clustering: A review", ACM Comput. Surv., vol. 31, no. 3, pp. 264-323, 1999.
    • (1999) ACM Comput. Surv. , vol.31 , Issue.3 , pp. 264-323
    • Jain, A.1    Murty, M.2    Flynn, P.3
  • 7
    • 33244468138 scopus 로고    scopus 로고
    • A supervised clustering and classification algorithm for mining data with mixed variables
    • Mar
    • X. Li and N. Ye, "A supervised clustering and classification algorithm for mining data with mixed variables", IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 36, no. 2, pp. 396-406, Mar. 2006.
    • (2006) IEEE Trans. Syst., Man, Cybern. A, Syst., Humans , vol.36 , Issue.2 , pp. 396-406
    • Li, X.1    Ye, N.2
  • 8
    • 0019111672 scopus 로고
    • Clustering analysis
    • K. Fu, Ed. Berlin, Germany: Springer-Verlag
    • E. Diday and J. C. Simon, "Clustering analysis", in Digital Pattern Classification, K. Fu, Ed. Berlin, Germany: Springer-Verlag, 1976, pp. 47-94.
    • (1976) Digital Pattern Classification , pp. 47-94
    • Diday, E.1    Simon, J.C.2
  • 9
    • 0017678272 scopus 로고
    • Classification automatique avec distances adaptatives
    • E. Diday and G. Govaert, "Classification automatique avec distances adaptatives", R. A. I. R. O. Informatique Comput. Sci., vol. 11, no. 4, pp. 329-349, 1977.
    • (1977) R. A. I. R. O. Informatique Comput. Sci. , vol.11 , Issue.4 , pp. 329-349
    • Diday, E.1    Govaert, G.2
  • 13
    • 0032154982 scopus 로고    scopus 로고
    • A monothetic clustering method
    • Sep
    • M. Chavent, "A monothetic clustering method", Pattern Recognit. Lett., vol. 19, no. 11, pp. 989-996, Sep. 1998.
    • (1998) Pattern Recognit. Lett. , vol.19 , Issue.11 , pp. 989-996
    • Chavent, M.1
  • 14
    • 0026831106 scopus 로고
    • Symbolic clustering using a new similarity measure
    • Mar./Apr
    • K. C. Gowda and E. Diday, "Symbolic clustering using a new similarity measure", IEEE Trans. Syst., Man, Cybern., vol. 22, no. 2, pp. 368-378, Mar./Apr. 1992.
    • (1992) IEEE Trans. Syst., Man, Cybern. , vol.22 , Issue.2 , pp. 368-378
    • Gowda, K.C.1    Diday, E.2
  • 15
    • 0029326165 scopus 로고
    • Agglomerative clustering of symbolic objects using the concepts of both similarity and dissimilarity
    • Jun
    • K. C. Gowda and T. Ravi, "Agglomerative clustering of symbolic objects using the concepts of both similarity and dissimilarity", Pattern Recognit. Lett., vol. 16, no. 6, pp. 647-652, Jun. 1995.
    • (1995) Pattern Recognit. Lett. , vol.16 , Issue.6 , pp. 647-652
    • Gowda, K.C.1    Ravi, T.2
  • 16
    • 0033279868 scopus 로고    scopus 로고
    • Clustering of symbolic objects using gravitational approach
    • Dec
    • K. C. Gowda and T. Ravi, "Clustering of symbolic objects using gravitational approach", IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 29, no. 6, pp. 888-894, Dec. 1999.
    • (1999) IEEE Trans. Syst., Man, Cybern. B, Cybern. , vol.29 , Issue.6 , pp. 888-894
    • Gowda, K.C.1    Ravi, T.2
  • 17
    • 2942618322 scopus 로고    scopus 로고
    • Multivalued type proximity measure and concepts of mutual similarity value useful for clustering symbolic patterns
    • Jul
    • D. S. Guru, B. B. Kiranagi, and P. Nagabhushan, "Multivalued type proximity measure and concepts of mutual similarity value useful for clustering symbolic patterns", Pattern Recognit. Lett., vol. 25, no. 10, pp. 1203-1213, Jul. 2004.
    • (2004) Pattern Recognit. Lett. , vol.25 , Issue.10 , pp. 1203-1213
    • Guru, D.S.1    Kiranagi, B.B.2    Nagabhushan, P.3
  • 18
    • 0029415780 scopus 로고
    • A conceptual version of the K-means algorithm
    • Nov
    • H. Ralambondrainy, "A conceptual version of the K-means algorithm", Pattern Recognit. Lett., vol. 16, no. 11, pp. 1147-1157, Nov. 1995.
    • (1995) Pattern Recognit. Lett. , vol.16 , Issue.11 , pp. 1147-1157
    • Ralambondrainy, H.1
  • 19
    • 0012393548 scopus 로고    scopus 로고
    • Dynamical clustering algorithm of interval data: Optimization of an adequacy criterion based on Hausdorff distance
    • A. Sokolowski and H.-H. Bock, Eds. Berlin, Germany: Springer-Verlag
    • M. Chavent and Y. Lechevallier, "Dynamical clustering algorithm of interval data: Optimization of an adequacy criterion based on Hausdorff distance", in Classification, Clustering and Data Analysis, A. Sokolowski and H.-H. Bock, Eds. Berlin, Germany: Springer-Verlag, 2002, pp. 53-59.
    • (2002) Classification, Clustering and Data Analysis , pp. 53-59
    • Chavent, M.1    Lechevallier, Y.2
  • 20
    • 0346724786 scopus 로고    scopus 로고
    • Clustering of interval data based on city-block distances
    • Feb
    • R. M. C. R. de Souza and F. A. T. de Carvalho, "Clustering of interval data based on city-block distances", Pattern Recognit. Lett., vol. 25, no. 3, pp. 353-365, Feb. 2004.
    • (2004) Pattern Recognit. Lett. , vol.25 , Issue.3 , pp. 353-365
    • De Souza, R.M.C.R.1    De Carvalho, F.A.T.2
  • 21
    • 28044438528 scopus 로고    scopus 로고
    • Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
    • Feb
    • F. A. T. de Carvalho, R. M. C. R. de Souza, M. Chavent, and Y. Lechevallier, "Adaptive Hausdorff distances and dynamic clustering of symbolic interval data", Pattern Recognit. Lett., vol. 27, no. 3, pp. 167-179, Feb. 2006.
    • (2006) Pattern Recognit. Lett. , vol.27 , Issue.3 , pp. 167-179
    • De Carvalho, F.A.T.1    De Souza, R.M.C.R.2    Chavent, M.3    Lechevallier, Y.4
  • 23
    • 33750164227 scopus 로고    scopus 로고
    • Dynamic clustering for interval data based on L2 distance
    • Jun
    • F. A. T. de Carvalho, P. Brito, and H.-H. Bock, "Dynamic clustering for interval data based on L2 distance", Comput. Stat., vol. 21, no. 2, pp. 231-250, Jun. 2006.
    • (2006) Comput. Stat. , vol.21 , Issue.2 , pp. 231-250
    • De Carvalho, F.A.T.1    Brito, P.2    Bock, H.-H.3
  • 24
    • 45449099044 scopus 로고    scopus 로고
    • Dynamic clustering of interval data using a Wasserstein-based distance
    • Aug
    • A. Irpino and R. Verde, "Dynamic clustering of interval data using a Wasserstein-based distance", Pattern Recognit. Lett., vol. 29, no. 11, pp. 1648-1658, Aug. 2008.
    • (2008) Pattern Recognit. Lett. , vol.29 , Issue.11 , pp. 1648-1658
    • Irpino, A.1    Verde, R.2
  • 25
    • 62349117695 scopus 로고    scopus 로고
    • Partitional clustering algorithms for symbolic interval data based on single adaptive distances
    • Jul
    • F. A. T. de Carvalho and Y. Lechevallier, "Partitional clustering algorithms for symbolic interval data based on single adaptive distances", Pattern Recognit., vol. 42, no. 7, pp. 1223-1236, Jul. 2009.
    • (2009) Pattern Recognit. , vol.42 , Issue.7 , pp. 1223-1236
    • De Carvalho, F.A.T.1    Lechevallier, Y.2
  • 27
    • 79959924318 scopus 로고    scopus 로고
    • Dynamic cluster methods for interval data based on Mahalanobis distances
    • D. Banks, L. House, F. R. McMorris, P. Arabie, and W. Gaul, Eds. Heidelberg, Germany: Springer-Verlag
    • R. M. C. R. de Souza, F. A. T. de Carvalho, and Y. Lechevallier, "Dynamic cluster methods for interval data based on Mahalanobis distances", in Classification, Clustering and Data Mining Applications, D. Banks, L. House, F. R. McMorris, P. Arabie, and W. Gaul, Eds. Heidelberg, Germany: Springer-Verlag, 2004, pp. 341-375.
    • (2004) Classification, Clustering and Data Mining Applications , pp. 341-375
    • De Souza, R.M.C.R.1    De Carvalho, F.A.T.2    Lechevallier, Y.3
  • 28
    • 35048881069 scopus 로고    scopus 로고
    • Clustering of interval-valued data using adaptive squared Euclidean distances
    • Lecture Notes in Computer Science, N. R. Pal, N. Kasabov, R. K. Mudi, S. Pal, and S. K. Parui, Eds. Heidelberg, Germany
    • R. M. C. R. de Souza, F. A. T. de Carvalho, and F. C. D. Silva, "Clustering of interval-valued data using adaptive squared Euclidean distances", in Proc. 11th ICONIP, vol. 3316, Lecture Notes in Computer Science, N. R. Pal, N. Kasabov, R. K. Mudi, S. Pal, and S. K. Parui, Eds. Heidelberg, Germany, 2004, pp. 775-780.
    • (2004) Proc. 11th ICONIP , vol.3316 , pp. 775-780
    • De Souza, R.M.C.R.1    De Carvalho, F.A.T.2    Silva, F.C.D.3
  • 29
    • 0000008146 scopus 로고
    • Comparing partitions
    • L. Hubert and P. Arabie, "Comparing partitions", J. Classif., vol. 2, no. 1, pp. 193-218, 1985.
    • (1985) J. Classif. , vol.2 , Issue.1 , pp. 193-218
    • Hubert, L.1    Arabie, P.2
  • 30
    • 0002271592 scopus 로고    scopus 로고
    • Clustering validation: Results and implications for applied analysis
    • P. Arabie, L. J. Hubert, and G. De Soete, Eds. Singapore: Word Scientific, 1996
    • G. W. Milligan, "Clustering validation: Results and implications for applied analysis", in Clustering and Classification, P. Arabie, L. J. Hubert, and G. De Soete, Eds. Singapore: Word Scientific, 1996, pp. 341-375.
    • Clustering and Classification , pp. 341-375
    • Milligan, G.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.