Distance between kohonen classes visualization tool to use SOM in data set analysis and representation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2085 LNCS, Issue PART 2, 2001, Pages 119-126

  Rousset, Patrick ^a,b   Guinot, Christiane ^c  

^a CEREQ   (France)

^b University Paris I Sorbonne Panthéon   (France)

^c CERIES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84902165135     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45723-2_14     Document Type: Conference Paper

References (11)

1. Blayo F. and Demartines P. (1991). Data analysis: How to compare Kohonen neural networks to other techniques ? In Proceedings of IWANN'91, pages 469-476, Springer Verlag, Berlin.
2. Chavent M., Guinot C., Lechevallier Y., Tenenhaus M. (1999). Méthodes divisives de classification et segmentation non supervisée : Recherche d'une typologie de la peau humaine saine. Revue de Statistique Appliquée, XLVII, 87-99.
3. Cottrell M. and Ibbou S. (1995). Multiple Correspondence Analysis of a crosstabulations matrix using the Kohonen algorithm. In Proceedings of ESANN'95, M. Verleysen (Eds), pages 27-32, D Facto, Bruxelles.
4. Cottrell M. and de Bodt E. (1996). A Kohonen Map Representations to Avoid Misleading Interpretations. In Proceedings of ESANN'96, M. Verleysen (Ed.), pages 103-110, D Facto, Bruxelles.
5. Cottrell M. and Rousset P. (1997). A powerful Tool for Analysing and Representing Multidimensional Quantitative and Qualitative Data. In Proceedings of IWANN'97, pages 861-871, Springer Verlag, Berlin.
6. Cottrell M., Fort J.C., Pagès G. (1998). Theorical aspects of the SOM algorithm, Neuro Computing, 21, pages 119-138.
7. Cottrell M., Gaubert P., Letremy P. and Rousset P. (1999). Analyzing and representing multidimensional quantitative and qualitative data : Demographic study of the Rhône valley. The domestic consumption of the Canadian families. E. Oja and S. Kaski (Eds), pages 1-14, Elsevier, Amsterdam.
8. Guinot C, Tenenhaus M., Dubourgeat M., LeFur I., Morizot F., Tschachler E. (1997). Recherche d'une classification de la peau humaine saine : méthode de classification et méthode de segmentation. Actes des XXIXe Journées de Statistique de la SFdS, pages 429-432.
9. Kohonen T. (1993). Self-organization and Associative Memory. 3°ed., Springer Verlag, Berlin.
10. Kohonen T. (1995). Self-Organizing Maps. Springer Series in Information Sciences Vol 30, Springer Verlag, Berlin.
11. Rousset P. (1999). Application des algorithmes d'auto-organisation à la classification et à la prévision. Thesis of doctorat, University Paris I, pages 41-68.