Abbasi, sadrollah
Department of Computer Engineering, Yasooj Branch, Islamic Azad University, Yasooj, Kohgiloye and Boyerahmad, Iran
[ 1 ] - The ensemble clustering with maximize diversity using evolutionary optimization algorithms
Data clustering is one of the main steps in data mining, which is responsible for exploring hidden patterns in non-tagged data. Due to the complexity of the problem and the weakness of the basic clustering methods, most studies today are guided by clustering ensemble methods. Diversity in primary results is one of the most important factors that can affect the quality of the final results. Also...
نویسندگان همکار