Speeding Up the Search for Optimal Partitions
Numerical value range partitioning is an inherent part of inductive learning. In classification problems, a common partition ranking method is to use an attribute evaluation function to assign a goodness score to each candidate. Optimal cut point selection constitutes a potential efficiency bottleneck, which is often circumvented by using heuristic methods.