메뉴 건너뛰기




Volumn 5864 LNCS, Issue PART 2, 2009, Pages 699-709

A visual method for high-dimensional data cluster exploration

Author keywords

Cluster Exploration; Statistics; Visualization

Indexed keywords

CLUSTER EXPLORATION; CLUSTERING PROCESS; CLUSTERING RESULTS; DATA SETS; HIGH DIMENSIONAL DATA; NUMBER OF CLUSTERS; STATISTICAL FEATURES; VISUAL TECHNIQUES;

EID: 76249095992     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10684-2_78     Document Type: Conference Paper
Times cited : (3)

References (24)
  • 1
    • 0242408723 scopus 로고    scopus 로고
    • Abul, A.L., Alhajj, R., Polat, F., Barker, K.: Cluster Validity Analysis Using Subsampling. In: Proc. of IEEE International Conference on Systems, Man, and Cybernetics, 2, pp. 1435-1440 (2003)
    • Abul, A.L., Alhajj, R., Polat, F., Barker, K.: Cluster Validity Analysis Using Subsampling. In: Proc. of IEEE International Conference on Systems, Man, and Cybernetics, vol. (2), pp. 1435-1440 (2003)
  • 3
    • 84892062680 scopus 로고    scopus 로고
    • A Survey of Clustering Data Mining Techniques
    • Kogan, J, Nicholas, C, Teboulle, M, eds, Springer, Heidelberg
    • Berkhin, P.: A Survey of Clustering Data Mining Techniques. In: Kogan, J., Nicholas, C., Teboulle, M. (eds.) Grouping Multidimensional Data, pp. 25-72. Springer, Heidelberg (2006)
    • (2006) Grouping Multidimensional Data , pp. 25-72
    • Berkhin, P.1
  • 4
    • 34547417444 scopus 로고    scopus 로고
    • VISTA: Validating and Refining Clusters via Visualization
    • Chen, K., Liu, L.: VISTA: Validating and Refining Clusters via Visualization. Journal of Information Visualization 13(4), 257-270 (2004)
    • (2004) Journal of Information Visualization , vol.13 , Issue.4 , pp. 257-270
    • Chen, K.1    Liu, L.2
  • 5
    • 76249117282 scopus 로고    scopus 로고
    • Dhillon, I.S., Modha, D.S., Spangler, W.S.: Visualizing class structure of multidimensional data. In: The 30th Symposium on the Interface: Computing Science and Statistics, 30, pp. 488-493 (1998)
    • Dhillon, I.S., Modha, D.S., Spangler, W.S.: Visualizing class structure of multidimensional data. In: The 30th Symposium on the Interface: Computing Science and Statistics, vol. (30), pp. 488-493 (1998)
  • 6
    • 84941155240 scopus 로고    scopus 로고
    • Dunn, J.C.: Well Separated Clusters and Optimal Fuzzy Partitions. Journal of Cybern. (4), 95-104 (1974)
    • Dunn, J.C.: Well Separated Clusters and Optimal Fuzzy Partitions. Journal of Cybern. (4), 95-104 (1974)
  • 7
    • 84963830496 scopus 로고    scopus 로고
    • An Empirical Study on the Visual Cluster Validation Method with Fastmap
    • Springer, Heidelberg
    • Huang, Z., Cheung, D.W., Ng, M.K.: An Empirical Study on the Visual Cluster Validation Method with Fastmap. In: The proceedings of DASFAA 2001, pp. 84-91. Springer, Heidelberg (2001)
    • (2001) The proceedings of DASFAA , pp. 84-91
    • Huang, Z.1    Cheung, D.W.2    Ng, M.K.3
  • 8
    • 77955225693 scopus 로고    scopus 로고
    • A visual method of cluster validation with Fastmap
    • Springer, Heidelberg
    • Huang, Z., Lin, T.: A visual method of cluster validation with Fastmap. In: The proceedings of PAKDD 2000, pp. 153-164. Springer, Heidelberg (2000)
    • (2000) The proceedings of PAKDD , pp. 153-164
    • Huang, Z.1    Lin, T.2
  • 11
    • 0035788895 scopus 로고    scopus 로고
    • Visualizing multi-dimensional clusters, trends, and outliers using star coordinates
    • Kandogan, E.: Visualizing multi-dimensional clusters, trends, and outliers using star coordinates. In: The proceedings of ACM SIGKDD 2001, pp. 107-116 (2001)
    • (2001) The proceedings of ACM SIGKDD , pp. 107-116
    • Kandogan, E.1
  • 14
    • 76249133793 scopus 로고    scopus 로고
    • Kruskal, J.B., Wish, M.: Multidimensional Scaling, SAGE university paper series on quantitive applications in the social sciences, pp. 07-011. Sage Publications, CA (1978)
    • Kruskal, J.B., Wish, M.: Multidimensional Scaling, SAGE university paper series on quantitive applications in the social sciences, pp. 07-011. Sage Publications, CA (1978)
  • 16
    • 2942746024 scopus 로고    scopus 로고
    • Visualizing Changes in the Structure of Data for Exploratory Feature Selection
    • Washington, DC, USA
    • Pampalk, E., Goebl, W., Widmer, G.: Visualizing Changes in the Structure of Data for Exploratory Feature Selection. In: The proceedings of SIGKDD 2003, Washington, DC, USA (2003)
    • (2003) The proceedings of SIGKDD
    • Pampalk, E.1    Goebl, W.2    Widmer, G.3
  • 17
    • 0023453329 scopus 로고    scopus 로고
    • Rousseeuw, P.: Silhouettes: A Graphical Aid to the Interpretation and Validation of Cluster Analysis. Journal of Computing 20, 53-65 (1987)
    • Rousseeuw, P.: Silhouettes: A Graphical Aid to the Interpretation and Validation of Cluster Analysis. Journal of Computing 20, 53-65 (1987)
  • 18
    • 34548734044 scopus 로고    scopus 로고
    • From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments
    • Hemmje, M, Niederée, C, Risse, T, eds, From Integrated Publication and Information Systems to Information and Knowledge Environments, Springer, Heidelberg
    • Seo, J., Shneiderman, B.: From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments. In: Hemmje, M., Niederée, C., Risse, T. (eds.) From Integrated Publication and Information Systems to Information and Knowledge Environments. LNCS, vol. 3379, pp. 232-240. Springer, Heidelberg (2005)
    • (2005) LNCS , vol.3379 , pp. 232-240
    • Seo, J.1    Shneiderman, B.2
  • 19
    • 84943247371 scopus 로고    scopus 로고
    • Shneiderman, B.: Inventing Discovery Tools: Combining Information Visualization with Data Mining. In: Jantke, K.P., Shinohara, A. (eds.) DS 2001. LNCS (LNAI), 2226, pp. 17-28. Springer, Heidelberg (2001)
    • Shneiderman, B.: Inventing Discovery Tools: Combining Information Visualization with Data Mining. In: Jantke, K.P., Shinohara, A. (eds.) DS 2001. LNCS (LNAI), vol. 2226, pp. 17-28. Springer, Heidelberg (2001)
  • 21
    • 76249111661 scopus 로고    scopus 로고
    • CVAP: Validation for Cluster Analyses
    • Wang, K., Wang, B., Peng, L.: CVAP: Validation for Cluster Analyses. Data Science Journal 8(20), 88-93 (2009)
    • (2009) Data Science Journal , vol.8 , Issue.20 , pp. 88-93
    • Wang, K.1    Wang, B.2    Peng, L.3
  • 22
    • 33749392363 scopus 로고    scopus 로고
    • 3: An Approach to Visual Cluster Analysis. In: Li, X., Zaïane, O.R., Li, Z.-h. (eds.) ADMA 2006. LNCS (LNAI), 4093, pp. 316-327. Springer, Heidelberg (2006)
    • 3: An Approach to Visual Cluster Analysis. In: Li, X., Zaïane, O.R., Li, Z.-h. (eds.) ADMA 2006. LNCS (LNAI), vol. 4093, pp. 316-327. Springer, Heidelberg (2006)
  • 24
    • 38049113247 scopus 로고    scopus 로고
    • 3. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladenič, D., Skowron, A. (eds.) PKDD 2007. LNCS (LNAI), 4702, pp. 336-349. Springer, Heidelberg (2007)
    • 3. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladenič, D., Skowron, A. (eds.) PKDD 2007. LNCS (LNAI), vol. 4702, pp. 336-349. Springer, Heidelberg (2007)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.