Algorithms for clustering data
Algorithms for clustering data
ROCK: a robust clustering algorithm for categorical attributes
Information Systems
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
Data Mining and Knowledge Discovery
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
Exploring relationships between genotype and oral cancer development through XCS
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Classifier fitness based on accuracy
Evolutionary Computation
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XCS is a stochastic algorithm, so it does not guarantee to produce the same results when run with the same input. When interpretability matters, obtaining a single, stable result is important. We propose an algorithm to join the rules produced from many XCS runs, based on a measure of distance between rules. We also suggest a general definition for such a measure, and show the results obtained on a complex data set.