IFCM:Improved algorithm of FCM clustering for interval data

Fuzzy clustering algorithm for interval data is studied.The steps of the fuzzy C-means algorithm that could control the impact to the length of the interval data are presented.But the algorithm could not find the different shapes and sizes,so an adaptive distance to solve the problem is presented,which can find the irregular fuzzy subset,at the same time the IFCM algorithm makes the clustering results more accurate.