Dynamic partitional clustering using evolution strategies
C.-Y. Lee, Erik K. Antonsson · 2002
A novel evolution strategy implementing variable length genomes is developed to address the problem of dynamic partitional clustering. As opposed to static, dynamic partitional clustering does not require the a priori specification of the number of clusters. Results of the algorithm are presented and discussed for 2-D touching and non-touching cluster test cases.