Numerical Cruncher

Classification

LVQ

Learning Vector Quantization (LVQ) is a group of algorithms applicable to statistical pattern recognition, in which the classes are described by a relatively small number of codebook vectors, properly placed within each zone such that the decision borders are approximated by the nearest-neighbour rule.

References

• Teuvo Kohonen: "The self-organizing map". Proceedings of the IEEE, 78(9):1464-1480, 1990.
  
• Teuvo Kohonen: "New developments of Learning Vector Quantization and the Self-Organizing Map". SYNAPSE'92, Osaka, Japan, 1992.