Fuzzy clustering and fuzzy entropy based classification model

  title={Fuzzy clustering and fuzzy entropy based classification model},
  author={Muhammad Asadullah Khan and Muhammad Nazir and Arfan Jaffar and Anwar M. Mirza},
  journal={2010 6th International Conference on Emerging Technologies (ICET)},
In Pattern recognition, ensembles of classifiers are used to increase the performance and accuracy of classification systems. The creation of ensembles, selection of base classifiers and combining the decisions of the classifiers is an active research area. In this paper we propose a method of ensemble creation that is based on fuzzy clustering (Fuzzy C Mean) and fuzzy entropy; and named as Fuzzy Clustering and Fuzzy Entropy (FCFE) based classification model. With the help of FCM we obtained… CONTINUE READING