|
Class Summary |
| Adaptation |
This abstract class is a super class to all adaptation classes. |
| DistanceWeightedAdapter |
With DistanceWeightedAdapter, the retrieved cases are given
weights directly proportional to their similarity to the problem under
examination. |
| NullAdapter |
This class is a filler for when no adaptation is desired. |
| WeightedAverageAdapter |
WeightedAverageAdapter finds a solution to the new problem by taking
the average of the suggested solution of each retrieved case, giving
each retrieved case importance in the average based on the weightings
provided to the object's constructor. |
| WeightedMajorityAdapter |
This class adapts solutions based on a weighted majority vote of each feature. |