In this article, the metaheuristic algorithm, tabu search, is proposed to deal with the clustering problem under the criterion of minimum sum of squares clustering. The presented method integrates four moving operations and mutation operation into tabu search. Its superiority over local search clustering algorithms and another tabu clustering approach is extensively demonstrated for artificial and real life data sets. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Liu, Y., Wang, L., & Chen, K. (2005). A tabu search based method for minimum sum of squares clustering. In Lecture Notes in Computer Science (Vol. 3686, pp. 248–256). Springer Verlag. https://doi.org/10.1007/11551188_27
Mendeley helps you to discover research relevant for your work.