The kernel self organising map

4th International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, KES 2000 - Proceedings

Volumn 1, Issue , 2000, Pages 317-320

  MacDonald, Donald ^a   Fyfe, Colin ^a  

^a UNIVERSITY OF THE WEST OF SCOTLAND   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION; DATABASE SYSTEMS; LEARNING SYSTEMS;

DATA SET; HIGH-DIMENSIONAL FEATURE SPACE; K-MEANS++ CLUSTERING; KERNEL SELF-ORGANIZING MAP; PROPERTY; RANDOM NUMBERS; TOPOLOGY PRESERVING;

SIGNAL PROCESSING; KNOWLEDGE BASED SYSTEMS;

KERNELS;

EID: 0033651432     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/KES.2000.885820     Document Type: Conference Paper

References (6)

1. D Charles, C. Fyfe, P.L. Lai, D MacDonald, and R Rosipal. Unsupervised Learning using Radial Kernels, (submitted).
2. Tuevo Kohonen. Self-Organising Maps. Springer, 1995.
3. F. Samaria and A. Harter. Parameterisation of a stochastic model for human face identification. In 2nd IEEE Workshop on Applications of Computer Vision, 1994.
4. B. Scholkopf, S. Mika, C. Burges, P. Knirsch, K.-R. Muller, G. Ratsch, and A. J. Smola. Input space vs feature space in kernel-based methods. IEEE Transactions on Neural Networks, 10:1000-1017,1999.
5. B. Scholkopf, A. Smola, and K.-R. Muller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10:1299-1319,1998.
6. A. J. Smola, O. L. Mangasarian, and B Scholkopf. Sparse kernel feature analysis. Technical Report 99-04, University of Wiscosin Madison, 1999.