CAT-CBR Library

The CBR Library include components for solving:

• Retrieval:
  • Nearest Neighbor, Decision Trees
  • Subsumption Mechanisms (perspectives)
• Reuse (Classification):
  • Voting, selection criteria
  • Constructive Adaptation
• Similarity models:
  • Feature similarity (numbers, ordered labels, …)
  • Structured (SHAUD)
• Aggregation
  • Weighted mean, euclidian, city-block, OWA, WOWA, …
• Model Acquisition
  • Generation DT
  • Weight models (gain, RLDM), numerical discretization
  • K-models