Parastou Shahsamandi E. and Soheil Sadi-nezhad, Islamic Azad University, Iran

Fuzzy clustering has been widely studied and applied in a variety of key areas of science and engineering. In this paper the Improved Teaching Learning Based Optimization (ITLBO) algorithm is used for data clustering, in which the objects in the same cluster are similar. This algorithm has been tested on several datasets and compared with some other popular algorithm in clustering. Results have been shown that the proposed method improves the output of clustering and can be efficiently used for fuzzy clustering.

Meta-heuristic algorithm, Improved teaching-learning-based optimization, Fuzzy clustering