Clustering Algorithm to Check Outlier Based on Similar Coefficient Sum

There are some objects that deviate the mass in the multiple object ives decision making(MODM) and comprehensive evaluating. So they are called outl ier set. They may affect the result of decision and evaluating if they are rejec ted. It is based on the characters of item set that the algorithms to check outl ier in data mining. And they arent suitable for the outlier checking in MODM and comprehensive evaluating. This article puts forward a clustering algorithm to c heck outlier based on similar coefficient sum and it efficiently solves this pro blem.