Contents

 
• Introduction
• Common Properties and Notational Conventions
• Goals of Competitive Learning
  • Error Minimization
  • Entropy Maximization
  • Feature Mapping
  • Other Goals
• Hard Competitive Learning
  • Batch Update: LBG
  • On-line Update: Basic Algorithm
  • Constant Learning Rate
  • k-means
  • Exponentially Decaying Learning Rate
• Soft Competitive Learning without Fixed Network Dimensionality
  • Neural Gas
  • Competitive Hebbian Learning
  • Neural Gas plus Competitive Hebbian Learning
  • Growing Neural Gas
  • Other Methods
• Soft Competitive Learning with Fixed Network Dimensionality
  • Self-organizing Feature Map
  • Growing Cell Structures
  • Growing Grid
  • Other Methods
• Quantitative Results (t.b.d.)
• Discussion (t.b.d.)
• References
• About this document ...