A Novel Fuzzy C-Means Method for Hyperspectral Image Classification

In this paper, a new fuzzy clustering, namely fuzzy c-weighted mean (FCWM), is being proposed. The cost function of the classical fuzzy c-mean (FCM) is defined by the distances from data to the cluster centers with their fuzzy memberships. Another idea for estimating the cluster centers originating form the idea of weighted mean applied in nonparametric weighted feature extraction (NWFE) is introduced to established a novel FCM-like clustering algorithm in this study. The real data experimental results show that the proposing FCWM outperforms the original FCM.