some context fuzzy clustering methods for classification problems
In this paper, we will propose a two-context fuzzy clustering algorithm (2C-FCM) and its parallel solution so called P2C-FCM for the classification problems. Some initial experiments show the effectiveness of P2C-FCM and 2C-FCM when comparing with traditional Context FCM. The applications of P2C-FCM and 2C-FCM are the basis to generate fuzzy rules for classifying member countries of United Nation Organization (UNO) according to the Human Development Index based on the statistics of UNO in 2005.
classification fuzzy rules parallel fuzzy clustering