Adaptive Clustering Technique Using Genetic Algorithms
Nam-Hun Park · IEICE Transactions on Information and Systems · 2005
This paper proposes a genetically inspired adaptive clustering algorithm for numerical and categorical data sets. To this end, unique encoding method and fitness functions are developed. The algorithm automatically discovers the actual number of clusters and efficiently performs clustering without unduly compromising cluster-purity. Moreover, it outperforms existing clustering algorithms.