%0 Conference Paper %1 Lee_dynamicpartitional %A Lee, C.-Y. %A Antonsson, E.K. %B In Proceedings of the Third Asia Pacific Conference on Simulated Evolution and Learning %D 2000 %K 2009 clustering seminar %P 25--27 %T Dynamic Partitional Clustering Using Evolution Strategies %U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.9974 %X 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.

@inproceedings{Lee_dynamicpartitional, abstract = {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.}, added-at = {2009-11-12T14:17:17.000+0100}, author = {Lee, C.-Y. and Antonsson, E.K.}, biburl = {https://www.bibsonomy.org/bibtex/21bc03cd61acf1b6d4dd88c1a1799456a/k.e.}, booktitle = {In Proceedings of the Third Asia Pacific Conference on Simulated Evolution and Learning}, description = {Dynamic Partitional Clustering Using Evolution Strategies}, interhash = {e508018227ac13c15b38f85540b51b8a}, intrahash = {1bc03cd61acf1b6d4dd88c1a1799456a}, keywords = {2009 clustering seminar}, pages = {25--27}, timestamp = {2009-11-12T14:17:17.000+0100}, title = {Dynamic Partitional Clustering Using Evolution Strategies}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.9974}, year = 2000 }