A Fuzzy Clustering Algorithm for Interval-Valued Data Based on Gauss Distribution Functions

According to analyzing the tendency of neutrals in a vote model,a new kind of similarity measure between interval-valued data based on Gauss distribution functions is proposed and the distance between two interval-valued data is given,and then,a novel fuzzy clustering algorithm for interval-valued data is presented.Examples show that this algorithm can get better performance than other existing methods.