Learning More Accurate Metrics for Self-Organizing Maps
暂无分享,去创建一个
[1] Samuel Kaski,et al. Clustering Based on Conditional Distributions in an Auxiliary Space , 2002, Neural Computation.
[2] Jorma Laaksonen,et al. LVQPAK: A software package for the correct application of Learning Vector Quantization algorithms , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.
[3] Samuel Kaski,et al. Principle of Learning Metrics for Exploratory Data Analysis , 2004, J. VLSI Signal Process..
[4] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[5] T. Kohonen,et al. Appendix 2.4 Stopping Rule 2.3 Fine Tuning Using the Basic Lvq1 or Lvq2.1 Lvq Pak: a Program Package for the Correct Application of Learning Vector Quantization Algorithms , 1992 .
[6] Robert A. Jacobs,et al. Hierarchical Mixtures of Experts and the EM Algorithm , 1993, Neural Computation.
[7] Jarkko Venna,et al. Neighborhood Preservation in Nonlinear Projection Methods: An Experimental Study , 2001, ICANN.
[8] Samuel Kaski,et al. Bankruptcy analysis with self-organizing maps in learning metrics , 2001, IEEE Trans. Neural Networks.