Une adaptation des cartes auto-organisatrices pour des données décrites par un tableau de dissimilarités
Aïcha El Golli; Fabrice Rossi; Brieuc Conan-Guez; Yves Lechevallier
Revue de Statistique Appliquée (2006)
- Volume: 54, Issue: 3, page 33-64
- ISSN: 0035-175X
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topEl Golli, Aïcha, et al. "Une adaptation des cartes auto-organisatrices pour des données décrites par un tableau de dissimilarités." Revue de Statistique Appliquée 54.3 (2006): 33-64. <http://eudml.org/doc/106584>.
@article{ElGolli2006,
author = {El Golli, Aïcha, Rossi, Fabrice, Conan-Guez, Brieuc, Lechevallier, Yves},
journal = {Revue de Statistique Appliquée},
language = {fre},
number = {3},
pages = {33-64},
publisher = {Société française de statistique},
title = {Une adaptation des cartes auto-organisatrices pour des données décrites par un tableau de dissimilarités},
url = {http://eudml.org/doc/106584},
volume = {54},
year = {2006},
}
TY - JOUR
AU - El Golli, Aïcha
AU - Rossi, Fabrice
AU - Conan-Guez, Brieuc
AU - Lechevallier, Yves
TI - Une adaptation des cartes auto-organisatrices pour des données décrites par un tableau de dissimilarités
JO - Revue de Statistique Appliquée
PY - 2006
PB - Société française de statistique
VL - 54
IS - 3
SP - 33
EP - 64
LA - fre
UR - http://eudml.org/doc/106584
ER -
References
top- BACELAR-NICOLAU H. ( 1985), The affinity coefficient in cluster analysis. Methods of operations research, 53, 507-512. Zbl0594.62071
- BACELAR-NICOLAU H. ( 2000), Analysis of symbolic data : exploratory methods for extracting statistical information from complex data, H. H. Bock and E. Diday, Ch. Similarity and Dissimilarity, pp. 160-165. Zbl0977.62066MR1792132
- BERNERS-LEE T., FIELDING R., MASINTER L. (August 1998), Uniform Resource Identifiers (URI) : Generic Syntax. RFC 2396, The Internet Society, http://www.ietf.org/rfc/rfc2396.txt.
- BOCK H. H. ( 2001), Clustering algorithms and kohonen maps for symbolic data, in : Proc. of The International Conference on New Trends in Computational Statistics with Biomedical Applications (ICNCB). Zbl1330.62243
- BOCK H. H., DIDAY E. ( 1999), Analysis of symbolic Data, Exploratory methods for extracting statistical information from complex data, Springer. Zbl1039.62501MR1792132
- CELEUX G., DIDAY E., GOVAERT G., LECHEVALLIER Y., RALAMBONDRAINY H. ( 1989), Classification automatique des données, Dunod informatique. Zbl0729.62574
- 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 Statistique Appliquées, 4, 5-29.
- CHAVENT M., LECHEVALLIER Y. ( 2002), Dynamical clustering of interval data. Optimization of an adequacy criterion based on Hausdorff distance, in Jajuga K., Sokolowski A. et Bock H.H. (Eds.) : Classification, Clustering and Data Analysis, Springer, pp. 53-60. Zbl1032.62058MR2010438
- CHENG Y. (November 1997), Convergence and ordering of Kohonen's batch map, Neural Computation, 9 (8), 1667-1676.
- CONAN-GUEZ B., ROSSI F., EL GOLLI A. ( 2006), Fast algorithm and implementation of dissimilarity self-organizing maps, Neural Networks, 19 (6-7), 855-863. Zbl1102.68540
- COTTRELL M., FORT J.-C., PAGÈS G. (November 1998), Theoretical aspects of the SOM algorithm, Neurocomputing, 21 (1-3), 119-138. Zbl0917.68082
- COTTRELL M., IBBOU S., LETRÉMY P. (October-November 2004), SOM-based algorithms for qualitative variables, Neural Networks, 17 (8-9), 1149-1167. Zbl1078.68118
- COTTRELL M., LETRÉMY P. (January 2005), How to use the Kohonen algorithm to simultaneously analyze individuals and modalities in a survey, Neurocomputing, 63, 193-207.
- DE REYNIÈS A. (Septembre 2002), Classification de données symboliques : une extension de la méthode des nuées dynamiques, in : Actes du IXème congrès de la société Francophone de Classification, pp. 177-180.
- DE REYNIÈS A. ( 2003), Classification et discrimination en analyse de données symboliques. Thèse de doctorat, Université Paris Dauphine, Paris, France.
- DIDAY E. ( 1971), La méthode des nuées dynamiques, Revue statistique appliquée, XIX (2), 19-34.
- DIDAY E., GOVAERT G. ( 1977), Classification automatique avec distances adaptatives, R.A.I.R.O. Informatique Computer Science, 11 (4), 329-349. Zbl0375.62061MR495278
- DIDAY E., SIMON J. J. ( 1976), Clustering analysis, Fu, K. S. (Eds.), Digital Pattern Recognition. Springer, Heidelberg, 47-94. Zbl0331.62043
- DREYFUS G., MARTINEZ J.-M., SAMUELIDES M., GORDON M. B., BADRAN F., THIRIA S., HÉRAULT L. ( 2002) Réseaux de neurones - méthodologie et applications; Eyrolles, Paris.
- EL GOLLI A. ( 2004), Extraction de données symboliques et cartes topologiques : Application aux données ayant une structure complexe. Thèse de doctorat, Université Paris-IX Dauphine, Paris, France.
- EL GOLLI A., CONAN-GUEZ B., ROSSI F. (November 2004), Self organizing map and symbolic data. Journal of Symbolic Data Analysis, 2(1). Zbl1102.68540
- FORT J.-C., COTTRELL M., LETRÉMY P. ( 2001), Stochastic on-line algorithm versus batch algorithmfor quantization and self-organizing maps, in : Proceedings of Neural Networks for Signal Processing 2001, Falmouth, USA.
- FOSS A., WANG W., ZAÏANE O. R. (April 2001), A non-parametric approach to web log analysis, in : Proc. of Workshop on Web Mining in First International SIAM Conference on Data Mining (SDM2001), Chicago, IL, pp. 41-50.
- FU Y., SANDHU K., SHIH M.-Y. ( 2000), A generalization-based approach to clustering of web usage sessions, in : Masand, Spiliopoulou (Eds.), Web Usage Analysis and User Profiling, Vol. 1836 of Lecture Notes in Artificial Intelligence, Springer, pp. 21-38.
- GAUL W., SCHMIDT-THIEME L. ( 2000), Frequent generalized subsequences - a problem from web mining, in : Gaul, W., Opitz, O., Schader, M. (Eds.), Data Analysis, Scientific Modelling and Practical Application, Springer, Heidelberg, pp. 429-445.
- GRAEPEL T., BURGER M., OBERMAYER K. (November 1998), Self-organizing maps : Generalizations and new optimization techniques, eurocomputing, 21, 173-190. Zbl0917.68182
- GRAEPEL T., OBERMAYER K. ( 1999), A stochastic self-organizing map for proximity data, Neural Computation, 11 (1), 139-155.
- HAMMER B., MICHELI A., SPERDUTI A., STRICKERT M. (March 2004), A general framework for unsupervised processing of structured data, Neurocomputing, 57, 3-35.
- HESKES T., KAPPEN B. ( 1993), Error potentials for self-organization, in : Proceedings of 1993 IEEE International Conference on Neural Networks (Joint FUZZ-IEEE'93 and ICNN'93 [IJCNN93]). Vol. III. IEEE/INNS, San Francisco, California, pp. 1219-1223.
- HOTELLING H. ( 1933), Analysis of a complex of statistical variables into principal components, Journal of Educational Psychology, 24, 417-441, 498-520. Zbl59.1182.04JFM59.1182.04
- KOHONEN T. ( 1995, 1997 & 2001), Self-Organizing Maps, 3rd Edition, Vol. 30 of Springer Series in Information Sciences, Springer. Zbl0866.68085
- KOHONEN T. ( 1996), Self-organizing maps of symbol strings. Technical report a42, Laboratory of computer and information science, Helsinki University of technology, Finland. Zbl0917.68177MR1324107
- KOHONEN T., SOMERVUO P. J. ( 1998), Self-organizing maps of symbol strings, Neurocomputing, 21, 19-30. Zbl0917.68177MR1450869
- KOHONEN T., SOMERVUO P. J. ( 2002), How to make large self-organizing maps for nonvectorial data, Neural Networks, 15 (8), 945-952.
- LEVENSHTEIN V.I. ( 1966), Binary codes capable of correcting deletions, insertions and reversais, Sov. Phys. Dokl, 6, 707-710. Zbl0149.15905MR189928
- LUOTONEN A. ( 1995), The common logfile format, http://www.w3.org/pub/WWW/Daemon/User/Config/Logging.html.
- MACQUEEN J. ( 1965), Some methods for classification and analysis of multivariate observations, in : Proc. of the Fifth Berkeley Symposium on Math., Stat. and Prob.Vol. 1. pp. 281-297. Zbl0214.46201MR214227
- MATUSITA K. ( 1951), Decision rules based on distance for problems of fit, two samples and estimation, Ann. Math. Stat., 3, 1-30. Zbl0065.12101MR73899
- MATUSITA K. ( 1955), On the theory of statistical decision functions, Ann. Math. Stat., 26, 631-640. Zbl0065.12101MR73899
- MOBASHER B., DAI H., LUO T., NAKAGAWA M. (January 2002), Discovery and evaluation of aggregate usage profiles for web personalization, Data Mining and Knowledge Discovery, 6 (1), 61-82. MR1917931
- RAGGETT D., LE HORS A., JACOBS I. (December 1999), HTML 4.01 specification, W3C recommendation, W3C, http://www.w3.org/TR/html4/.
- RAMSAY J., SILVERMAN B. (June 1997, Functional Data Analysis, Springer Series in Statistics. Springer Verlag. Zbl0882.62002MR2168993
- ROSSI F., CONAN-GUEZ B., EL GOLLI A. (April 2004), Clustering functional data with the som algorithm, in : Proceedings of ESANN 2004. Bruges, Belgium, pp. 305-312.
- SOMERVUO P. J. ( 2004), Online algorithm for the self-organizing map of symbol strings, Neural Networks, 17 (1231-1239).
- SRIVASTAVA J., COOLEY R., DESHPANDE M., TAN P.-N. ( 2000), Web usage mining : Discovery and applications of usage patterns from web data, SIGKDD Explorations, 1 (2), 12-23.
- TANASA D., TROUSSE B. ( 2003), Le prétraitement des fichiers log web dans le web usage mining multi-sites, in : Journées Francophones de la toile.
- TANASA D., TROUSSE B. ( 2004a), Advanced data preprocessing for intersites web usage mining, IEEE Intelligent Systems, 19 (2), 59-65.
- TANASA D., TROUSSE B. ( 2004b), Data preprocessing for wum, IEEE Potentials, 23 (3), 22-25.
- TENENBAUM J. B., DE SILVA V., LANGFORD J. C. (December 2000), A global geometric framework for nonlinear dimensionality reduction, Science, 290 (5500), 2319-2323.
- THIRIA S., LECHEVALLIER Y., GASCUEL O., CANU S. ( 1997), Statistique et méthodes neuronales, Dunod, Paris.
- TORGERSON W. S. ( 1952), Multidimensional scaling : I. theory and method, Psychometrika, 17, 401-419. Zbl0049.37603MR54219
- VERDE R., DECARVALHO F., LECHEVALLIER Y. ( 2000), A dynamical clustering algorithm for multi-nominal data, in :H.A.L. Kiers, J.-P. Rasson, P. G., Schader, M. (Eds.), Data Analysis, Classification, and Related Method, Springer-Verlag, Heidelberg, pp. 387-394. Zbl1026.62069MR1848204
- W3C HTML WORKING GROUP (August 2002), XHTML 1.0 the Extensible Hyper Text Markup Language, W3C recommendation, W3C, second Edition, http://www.w3.org/TR/xhtml1/.
- WANG J.-L., WANG X., LIN K.-I., SHASHA D., SHAPIRO B. A., ZHANG K. ( 1999), Evaluating a class of distance-mapping algorithms for data mining and clustering, in : Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining. pp. 307-311.
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