Agglomerative independent variable group analysis

ESANN 2007 Proceedings - 15th European Symposium on Artificial Neural Networks

Volumn , Issue , 2007, Pages 55-60

  Honkela, Antti ^a   Seppä, Jeremias ^a   Alhoniemi, Esa ^b  

^a AALTO UNIVERSITY   (Finland)

^b UNIVERSITY OF TURKU   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

AGGLOMERATIVE METHODS; DEPENDENT VARIABLES; DISTANCE MEASURE; HIER-ARCHICAL CLUSTERING; INDEPENDENT VARIABLE GROUP ANALYSIS; MUTUAL INFORMATIONS; MUTUALLY INDEPENDENTS; PREDICTIVE MODELING;

ARTIFICIAL INTELLIGENCE; COGNITIVE SYSTEMS;

NEURAL NETWORKS;

EID: 84887003724     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. K. Lagus, E. Alhoniemi, and H. Valpola. Independent variable group analysis. In Proc. Int. Conf. on Artificial Neural Networks - ICANN 2001, volume 2130 of LNCS, pages 203-210, Vienna, Austria, 2001. Springer.
2. E. Alhoniemi, A. Honkela, K. Lagus, J. Seppä, P. Wagner, and H. Valpola. Compact modeling of data using independent variable group analysis. IEEE Transactions on Neural Networks, 2007. To appear. Earlier version available as Report E3 at http://www.cis.hut.fi/Publications/.
3. R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification. Wiley, 2nd edition, 2001.
4. K. A. Heller and Z. Ghahramani. Bayesian hierarchical clustering. In Proc. 22nd Int. Conf. on Machine Learning (ICML 2005), pages 297-304, 2005.
5. N. L. Zhang. Hierarchical latent class models for cluster analysis. Journal of Machine Learning Research, 5:697-723, 2004.
6. A. Kraskov, H. Stögbauer, R. G. Andrzejak, and P. Grassberger. Hierarchical clustering using mutual information. Europhysics Letters, 70(2):278-284, 2005.
7. E. Alhoniemi, T. Knuutila, M. Johnsson, J. Röyhkiö, and O. S. Nevalainen. Data mining in maintenance of electronic component libraries. In Proc. IEEE 4th Int. Conf. on Intelligent Systems Design and Applications, volume 1, pages 403-408, 2004.
8. M. J. Zaki, S. Parthasarathy, M. Ogihara, and W. Li. New algorithms for fast discovery of association rules. In Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining (KDD), pages 283-286, 1997.
9. R. Battiti. Using mutual information for selecting features in supervised neural net learning. IEEE Transactions on Neural Networks, 5(4):537-550, 1994.