A Genetic Approach to Tuning Compact Trie Clustering

Abstract

The Compact Trie method for document clustering is sensitive to the kind of
text it is applied to, but contains various parameters that may be tuned for
adaptation to specific applications. We implement a genetic algorithm for
optimizing these parameters and apply it to a corpus of texts to demonstrate
the feasibility of using genetic algorithms for tuning.